Auto-Tune always and forever

10 Nov 2024 · 1 h 2 min

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In short

The Vergecast Summary: Episode "Auto-Tune Always and Forever"

Overview Podcast Title: The Vergecast Episode Title: Auto-Tune Always and Forever Hosts: Nilay Patel, David Pierce Guest: Charlie Harding (music journalist, co-host of Switched on Pop) Episode Date: [Specify Date] Description: In this episode, the hosts and guest Charlie Harding explore the history and cultural impact of Auto-Tune in music, its evolution, and its relationship with emerging AI technologies.

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Key Themes and Discussions

  1. Introduction to Auto-Tune
  2. Definition:
  3. Auto-Tune is a software tool developed by Antares for pitch correction in vocal performances.
  4. It has become synonymous with pitch manipulation in music, often referred to as a generic term similar to "Kleenex" for tissues.
  1. Historical Context
  2. Origins:
  3. Created by Andy Hildebrand, a geologist who applied technology from the oil industry to music.
  4. Launched in 1997, it was initially meant for subtle pitch correction.
  • Cultural Impact:
  • Cher's 1998 song “Believe” popularized the effect, creating the "Cher Effect" by using Auto-Tune in an exaggerated manner.
  • This led to both acceptance and backlash in the music community regarding authenticity and artistry.
  1. The Evolution of Auto-Tune
  2. Artistic Adoption:
  3. Artists like T-Pain and Kanye West utilized Auto-Tune to create new sounds, embedding it into their music.
  4. This transformed Auto-Tune from a correction tool to an instrument in its own right, leading to widespread use in the industry.
  • Backlash:
  • There have been criticisms claiming Auto-Tune homogenizes voices and diminishes unique vocal identities.
  • Yet, listeners often gravitate toward this sound, illustrating a complex relationship between technology and artistry in music.
  1. Auto-Tune in the Modern Music Landscape
  2. Current Usage:
  3. Over 90% of commercial recordings utilize some form of pitch correction.
  4. The technology has become so integrated that many artists cannot sing without it, altering the very nature of vocal performance.
  • Live Performance:
  • Artists now often use Auto-Tune live to maintain the quality of studio recordings, further embedding the tool into the fabric of live music.
  1. Future of Music and AI
  2. Integration of AI:
  3. Discussions on how AI could parallel the evolution of Auto-Tune, possibly becoming a new standard in music production.
  4. Despite its potential, AI currently lacks a distinct sonic fingerprint akin to Auto-Tune.
  • Cultural Backlash:
  • The authenticity debate surrounding music continues, with some predicting a return to more "natural" sounds as a counter to technology-driven music.
  • Nostalgia and Authenticity:
  • Potential resurgence of "authentic" sounds, akin to punk rock, where imperfections and rawness are embraced again.

Key Takeaways

  • Auto-Tune reshaped the music industry by transforming vocal correction into a creative tool.
  • The debate surrounding authenticity in music continues as technology evolves, with vocal processing tools like Auto-Tune remaining prevalent.
  • AI technologies present both challenges and opportunities for future music creation, echoing the historical arc of Auto-Tune's integration into popular music.

Further Reading & Resources

  • Switched on Pop Podcast: Insights into the intersection of music and technology.
  • Pitchfork Articles: Various writings on the history and impact of Auto-Tune in music.

Contact Information

  • Feedback and Questions: Email vergecast@theverge.com or call 866-VERGE11.

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This summary encapsulates the rich discussions surrounding Auto-Tune's history, its cultural significance, and the future of music technology as explored in this episode of The Vergecast.

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Transcript

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0:02Welcome to the Vergecast, the flagship podcast of the difference between reverb and d-verb. I'm your friend David Pierce, and I have decided that I am going to relearn how to play the guitar. So I have this guitar that sits behind me on all of my meetings and all of my podcast recordings. And so people are often like, oh, that's cool. Do you play guitar? What's your favorite song? Do you know Time of Your Life by Green Day? Like all this stuff. And the answer is I don't really play. I used to. I played a lot when I was a kid for a long time. I was actually pretty good at it. But then I got to that point that you get to with a lot of things where my guitar teacher was like, you either need to try harder and care about this more or just quit.

0:37And so I just quit. Bad choice in retrospect, but like I was 12. What are you going to do? But now I have this guitar and I've decided I'm going to remember how to play it. So I got this app, Yousician, that people really recommend and I really like so far. It just sits here on the iPad and it tells me what to play and it actually uses the microphone to see if I'm playing it correctly and gives you this sort of dynamic feedback as you go. It's not as good as having like a person to teach me, but I can do it in my basement. So I'm calling it a victory. So far, I have learned basically that this is a C chord and not much else.

1:13But you know, it's progress. We're doing it one day at a time. Anyway, that is not what we're here to talk about. This is the second episode in our miniseries all about the future of music. Last week, we talked to Jack Coyne about Trackstar and basically music content and how we as fans discover new music and how musicians discover new fans and be in the world. This week, we're talking about a technology that I think you could argue is the single most important thing that has happened to music in the last two decades. And that thing is autotune. We're talking to Charlie Harding, who is a longtime Vergecast contributor and a friend of the show, and also the co-host of the excellent podcast, Switched on Pop.

1:53I'll link it in the show notes. If you don't listen to it, you should. It's excellent. He's going to tell us all about the history of autotune, how it changed music, And maybe try to figure out with us if there's a way to take what happened to AutoTune over the last two decades and think ahead. As we get to AI and TikTok and all the other changes that are happening to the music industry, what can we learn from what has happened with AutoTune that might give us a hint about where we're going the next 25 years? All that is coming up in just a sec. We have a lot of very fun songs to play. They are going to stick in your brain for months.

2:26And I'm very, very sorry about that. But it's going to be worth it. It's going to be awesome. All that is coming up, but I just remembered how to play a D chord. And so I'm going to go do that a bunch of times and feel very good about myself. I know two chords now. I'm basically a guitar player. This is The Verge Cast. We'll be right back.

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3:13Welcome back. All right, let's just get into it. So Charlie Harding, like I said, is a music journalist. He's a professor of music. He's also the co-host of Switched on Pop, one of my absolute favorite deep wonky music podcasts. I really cannot recommend it enough. He's been on this show with us before, talking mostly about AI music. We did a great episode with him last fall where we tried to make a song with AI, and it got weird and very fun. He was around for the whole laser bong craziness. We talked a lot about AI Drake with him. We've talked a lot about AI with Charlie. Today we're going to talk about something different, and that is autotune.

3:50But one of the reasons I wanted to have Charlie here to do this is that I think there might be some similarities between the story of AutoTune and the story of AI. So in order to do that, Charlie is going to show up here and he's going to tell us the story of AutoTune, how it changed music, how it changed the world. And then we're going to try to figure out if there's anything we can learn about what comes next. So here we go. Let's just get into it. Here's my conversation with Charlie Harding. Charlie Harding, welcome back to the show. Pleasure to be here. It's been a minute. This is very fun.

4:21I was having a reason to talk to you. And this time, it's not about weird AI videos on YouTube. This is very exciting for us. I imagine we will get to AI because that is the topic. We will almost certainly get to AI videos on YouTube. I just realized that is where we are headed here at some point. But we're going to take a minute to get there. So I want to start. This is sort of a needlessly pedantic way to start this conversation. But I've realized in prepping for this that when we talk about autotune, we're kind of talking about a bunch of things but also one very specific thing so before we get into the whole story of autotune like yeah what what is autotune what do people mean when they refer to autotune today in 2024 i think there's two different definitions of autotune the sort of formal definition is that there's a company called antaris that made a audio software tool called autotune that is used to help people adjust the pitch of their vocal uh after they have recorded it, or actually you can even record it live into Autotune today.

5:20That is also an effect people use. It's an audio processing effect. And it is also, second definition, basically becomes synonymous with any kind of pitch correction. There are many companies that help us do pitch correction. And so when you say Autotune, you could either mean this audio plugin or you could mean any form of pitch manipulation and correction. Okay. So Autotune is like the Kleenex of the space. It is both a thing, but it's also the name everybody uses to refer to everything kind of like it. Yes, exactly. Okay, got it. So let's go all the way back to the beginning here. You mentioned AutoTune, the product.

5:55Yes. Where did it come from? There are so many things in audio that have come from the military industrial complex, aerospace, and in this case, the oil industry. because Autotune was invented by a guy named Andy Hildebrand, who was a geologist who worked in oil and gas, and he used techniques like the foyer transform analysis, which is used both in geophysics and in audio processing. And he helped find oil deposits using wave seismology tools. I don't quite know the science of this stuff. I'm a music journalist. And he had this idea that he wanted to pursue his passion in music. He was a flautist.

6:42And that is one who plays the flute, to be clear. And so he launched this software company in the 90s and built a tool that used some of the math and science that he had used in oil and gas to create a pitch correction tool. Somehow the wave technology he used to identify oil fields also applied to how we can better tune our vocals. So thank you, oil and gas, for pitch correction. If there's any reason you didn't like autotune, I just gave you another one. Yeah, right. It's for better or for worse. I have to say no single part of that answer was remotely close to what I expected. I love it. This is great.

7:19So how does it go from like Guy makes science project to actually being used? I think, brief spoiler alert, we're going to get to Cher here very quickly. Yeah, of course. Is Cher the very, very beginning of that story, or was Autotune kind of around in the industry before Cher happened? It's very close to Cher. The tool Autotune launches in 1997. Cher's Believe. So sad that you're leaving. Takes time to believe it. Which is really the song where people start to recognize the effect isn't until the fall of 1998. The idea of autotune was that it would be a sort of subtle effect to help slightly enhance a out of tune vocal.

8:10Not completely out of tune. Like you still had to sing pretty well in tune, but it could help sort of nudge the bad moments back into tune. And so there certainly were some producers that were using it before Cher. What Cher did is that she and her team took this tool and kind of abused it. They set the setting so that it pitch corrected as fast as it possibly could in such a way that it created this very strange vocal effect that they started calling the Cher effect. I do have to note, though, there is an important recording that came out before Cher is Believe that also had this over-the-top autotune effect.

8:48And it's very unfortunate that it is Kid Rock's Only God Knows Why released a few months before Cher is Believe. They say that every man bleeds just like me. Yeah, that's tough. We'll give it to Cher. I think it's right that Cher gets the credit for that one. And the thing is, that song was released as an album cut, not as a single. But after Cher's Believe, they were like, oh, that's a cool sound. And we already did it. So they later released Only God Knows Why as a single. And so it's often heard as having occurred after Cher's Believe. It was technically released beforehand. Fair enough. We've got Oil & Gas.

9:27We've got Kid Rock. We're hitting all the marks right now. Some tough bedfellows on the broadcast today. So it's super interesting to me that at the very beginning, like months after this thing was launched for this sensibly pretty straightforward purpose. Yeah, anodyne, totally. It's already being used in these wild, out there surprising ways. Did it happen like that from the very beginning? It seems like it got crazy before it got quiet in such a really interesting way with Auto-Tune. Well, the share effect was almost a one-off. Like some people started to do similar-ish things. You can think of like Madonna's music in 2000 has a sort of pitch correction-y sound.

10:13Daft Punk's One More Time in 2001 actually uses a different pitch correction tool. But people start to mimic this effect for sure. It's much more common that people are using autotune, the proper tool, this effect, as like really gentle pitch correction. and so the Cher effect was kind of like I think at first kind of a one-off novelty people were using autotune though like you can hear it very audibly on a song like Maroon 5's She Will Be Loved from 2002 I don't mind spending every day I love your corner and the pouring rain Where it was supposed to be subtly used, but there's something just like a little bit wrong with the recording.

11:05And people picked up on the fact that like, I don't know, there's something about that vocal, which is slightly inhuman. I can't identify it because it's not that like hard tuning share effect. It's the auto tune tool, but kind of overused. And people started to complain, oh, this is the sign of the end of music. People aren't really singing. They're doing something after the fact to make it glossy and sheeny. Fascinating. Was that the reaction to Cher even because she was not trying to hide what was going on there? No, no. Well, when you listen to the song Believe, it uses both a mix of tuning and no tuning.

11:45In the verse, she begins with autotune on. And she's sort of singing about trying to find love after a broken heart. and there's this sort of feeling of this robotic, just going through the motions kind of person. And the vocal tuning almost matches the presentation of the lyric. I need love, feel strong. Then as she goes into the chorus, she sings, I believe in life after love. She actually drops the auto-tune. Do you believe in life after love?

12:26So it's actually this creative effect in which she's saying, like, I can feel robotic and like soulless and then I can sort of break through. And Cher is, of course, an amazing vocalist. And so she turns that effect on and off to match the lyric of the song. When it came out, though, everyone's like, whoa, what is she doing? Not like, oh, she's not singing. But that is a very strange and cool effect. I want to do that, too. too. And Sharon, her producers actually misled people and didn't tell them what they did because they wanted to have this kind of cool proprietary sound that nobody else could mimic.

12:59That's so interesting. And at that point, Auto-Tune, I guess, was new enough that we hadn't already sort of explored the edges of it in that same way. Oh, yeah, absolutely not. This was totally novel to people. They'd never heard a thing quite like it. But there is a whole history of other vocal processing techniques, tools like the vocoder or the talk box. And people probably assumed, and actually the producers misled interviewers and said, oh yeah, it's just like a vocoding tool, which is a tool that actually goes back to World War II. It was invented as a way of encoding and decoding messages to be sent undersea so they wouldn't be caught by German U-boats.

13:37I'm telling you, audio is like all military industrial stuff. We wouldn't have recorded music if it weren't for early sort of military audio tools. But in any case, they said that It was this tool that had been around for decades and decades and decades so that they could have their secret sauce. That's so interesting. So real quick, just give me the technical explanation of how autotune actually works. You mentioned its job, ostensibly, is to take a pitch that you sing incorrectly and make it the correct pitch. I understand that much. Yeah. What else is useful to understand about how autotune actually works in order to understand how people use it?

14:18Basically, it's a tool that is trying to identify what pitch are you attempting to sing, and then it does what you would call pitch quantization, basically pushing the pitch that you are singing to the pitch that you're trying to sing. And you can do this at different speeds. So if I'm singing here, but I'm trying to sing here, it would go, it would sort of glide you to your pitch. and when we think of the share effect or the autotune effect that is turning that pitch speed all the way down to zero meaning it automatically immediately jumps your voice from one pitch to another and when it does that it creates this sort of digital artifacting that is unnatural it is strange and it is now very desirable people like this sound and intentionally bake it into how they sing because it is a fun creative effect.

15:11Got it. Okay. But in theory, it really is just that simple of like, you have a pitch and you have a pitch that you want and autotune makes those the same thing. Yes. And you can say, how fast does it do it? You can maybe add some vibrato. There's all these little, you know, fine tune parameters, but basically fix my pitch. Okay. And you do this by sort of saying, I'm trying to sing in this scale and you set your scale. And then it just knows that, hey, you're singing way off your scale. Let me fix that for you. Okay. So in sort of that basic definition of it, I can actually understand why autotune, if it worked at the beginning, and it sounds like it did, would be an immediate gigantic hit, right?

15:50And like, from the way you describe it, it sounds like it was like, you talk about Madonna, you talk about Maroon 5, you talk about like, these are A plus list artists who are using autotune basically immediately. Did this thing just like, come out and take over the music industry? I mean, it definitely today is used on the majority of recordings. And when I say majority, I mean like over 90 % of recordings. The only recordings that won't use autotune are probably going to be, and I should say, use some kind of pitch correction. The only recordings that don't use pitch correction would be like a very naturalistic rock song, maybe an indie song.

16:24You certainly, certain rappers who are not singing use it, but the majority of any sung vocal is using autotune. when it came out the gate sure i mean anytime that somebody needed to post process fix something that was out of tune auto tune was the tool to use there have been tools for quantizing rhythm that had existed before auto tune so that you could say hey you meant to hit the snare here but you actually hit it a little bit late let's nudge it back over and so producers have always wanted to find ways to fix uh pitch problems and they actually had really challenging slow ways of fixing pitch all the way back into the 70s where you would go into a piece of tape there were digital processors you would send it to and you could like nudge one little note a little bit north or south of where it's supposed to land it was very slow and laborious so uh people have been always trying to perfect recordings that are slightly imperfect to to make them you know more exactly in key so i just i keep coming back to the share thing because it's like i'm so fascinated by the idea of like a lot of what you just described are sort of tools in a producer's toolkit right like things that in theory aren't sort of front and center in the recording they're just designed to like solve a set of problems that you have and i i think there was clearly a lot of that in how autotune is used and still is and i think like to your point it not every song sounds like believe but if every song has autotune like that's it's being used in the way it's supposed to but also it became an instrument in a very real way in a way that most of these technological things don't right and that's thanks to t-pain right so like it goes from being the share effect to becoming the t-pain effect t-pain who like share great singer uh which no one knew forever my favorite thing about t-pain like everybody knew share could sing before she did believe but we spent like a decade being like oh t-pain can't sing and it's all because of auto right Right.

18:17So Cher puts up Believe in 1998. Fast forward to 2005, T-Pain's I'm Sprung is one of the first time that people hear this effect in the world of R &B.

18:34and it goes from being the share effect to being the t-pain effect and pretty quickly it becomes the sort of way that people sing in particular it gives rappers the capacity to sing and there are a number of early recordings but the one that really sort of lands it for folks is kanye's 808s and heartbreak the song heartless in 2008 In the night I hear him talk, the coldest story ever told, somewhere far along this road. All of a sudden, Kanye, who is not a particularly strong singer, has the capacity to hit a pitch and sing melodies. Once that track is out the gate, every rapper realizes that they have the opportunity to start embedding hooks into their music.

19:21And oftentimes it is the chorus hook that people sing. And so I would say it's from Cher to T-Pain to Kanye and then everybody. That's really, it's really in the sort of late aughts that the auto-tune effect becomes ubiquitous. It takes more than a decade from Cher's Believe before people start using it as, in the same way they might use distortion or reverb. It just becomes another tool in the toolbox that people are using as this overblown effect, not the gentle version of it. Right. But I guess one key difference is that, at least to my knowledge, and you're much more in this than I am, but I don't remember there being a huge cultural backlash against reverb.

20:08And yet, there have been at least a couple that I can remember of sort of big, loud, angry moments where the music industry or someone big in the music industry said, you know, we have to get rid of autotune. It's ruining everything. It is destroying this thing we believe in. And what, just before we get into Ovid, make the case against autotune. Like if you were, put yourself in the position, you, Charlie Harding, hate autotune and think it should be excised from the earth. Tell me why. I guess you could say that autotune homogenizes the voice. I'm having trouble saying this because I actually don't believe it.

20:49We're just going to clip that part and just play it. Okay, perfect. like someone's unique vocal identity is the way that they hit a pitch not not nobody sings perfectly in pitch we all scoop into our notes we use vibrato differently and auto-tune sort of uh you know carves out all of those imperfections part of what makes us sound like ourselves makes us sound human and so you could say that yeah it's a homogenizing tool you could also say that you know, Prince stars who don't have proper vocal training and technique. But, you know, that's like the history of rock and roll are people who were not trained singers who sing properly with all their air and, you know, but like rather have personality to their voice and maybe intentionally don't sing.

21:39Like Henry Rollins is a great example. Like the entire word of like punk music is not about singing properly. So I think both of this, these arguments of it homogenizes the voice and it allows people who don't sing well to be stars are probably the primary criticisms. In the aughts, after Kanye's record, as more and more people start to copy the sound, there were plenty of critics who are just like, everyone's starting to sound the same. That's the age old criticism of all popular music. Everyone sounds the same. There are still plenty of boomer YouTubers who like to talk about how autotune is still ruining music.

22:13And the reality is that autotune only becomes more popular after that era. Listeners want more of it. It's not some cabal of music executives being like, ah ha ha ha, we are going to give autotune to the people. But rather, it's like clearly people are listening to this music and they want more of it. The counter-argument to autotune homogenizing voices is that, like, if you listen to Drake's Passion Fruit... Passionate from miles away Passive with the things you say It does not sound like Charlie XCX's 360. Yeah, 360. When you're in the mirror, do you like what you see? When you're in the mirror, you're just looking at me.

22:53When I'm everywhere, I'm so Julia. It does not sound like Travis Scott's Sicko Mode. Made this here with all the ice on in the booth. At the gate outside, when they pull up, they get me loose. Yeah, jump off. Like, you can still identify who people are. And I love that about autotune. is that actually it's what you do with it that makes it your own way of recording. I think about it kind of like, you know, when you pick up an old-style phone, there's all kinds of ways that the voice is being processed. All the low-end information and the high-end information is being cut off, and all of the dynamic volume changes are also being squashed and compressed, and they're doing that to save data on networks.

23:35And yet, like, I mean, if you call me on the phone, I would immediately know it's your voice and not Neelai's voice. Right. Right? Like, the ear is so meldable to whatever effects that we use to change it. I think that's awesome. So, I think where autotune goes from here is that people learn to use this effect to enhance their own creativity, their own artistry. artists like drake start embedding really great hooks in his raps because he can now sing in ways that he couldn't otherwise he's not a he's not a great vocalist he's a great rapper and he's a great melodist but like again he's not trained to be a great vocalist right uh singer you know we don't get travis scott without auto tuning you don't get charlie xdx without auto tune people end up using this tune, this sound very creatively, and it explodes.

24:31Okay. And do you think of it in your own world and work as sort of spiritually different from any other tool in a toolkit that a producer or an artist has? Does it belong on the same level as reverb and distortion, or is it something else entirely? I think about it as a producer and as an educator in music as just another tool in the toolbox, for sure. I think that a lot of the backlash has to do with this question of like, what is human and what is inhuman? The synthesizer had the same kind of backlash in its development that, oh, it's not a real person playing a real instrument. This is mechanical.

25:09It doesn't sound as expressive. I mean, clearly those critics also lost the plot because the synthesizer is one of the predominant sounds of popular music. I think about it as just a normal effect that anybody can use and And one that should be used creatively to enhance the feeling of a song. Okay. How has AutoTune changed? It's, what, 27 years old now? Yeah. Is it functionally still the same piece of software it was in the 90s, or has it... Sure, sure. There are many... AutoTune is a software developer. Thus, they need to constantly develop new things. They gotta show quarterly growth, man. Yeah, you gotta keep buying the next version.

25:47So I think, I don't know, we're well past AutoTune X. I can't remember what version we're on. Their engagement metrics are off the charts. There's a social network in there somewhere. Oh, they have a subscription service. They've got everything. The reality is that actually a lot of people still like the autotune effect of yesteryear. And so if you use autotune today and you buy the latest version of it, you can turn on classic mode so you can actually go back to how it used to sound. Autotune today is much more naturalistic. It does a better job of tuning your vocal in ways that are less obvious.

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26:19But the effect, the autotune effect that people love, whether it's with T-Pain or Cher or Kanye, whoever, what you like is that hard tuning, the thing which is inhuman, and you like to play with it. And so most people actually will just go back to the classic mode. All right. I want to talk more about where we are right now with autotune, but first we got to take a quick break. We'll be right back.

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27:30Your coach helps you get clear on your goals, create a plan, build your confidence, and keeps you accountable along the way. So don't leave your career to chance. Take action and own your future with a professional coach in your corner. Go to strawberry.me slash unstuck to claim a special offer. That's strawberry.me slash unstuck. All right, we're back. Charlie Harding's still here. Hi, Charlie. Hello. So I want to talk about Auto-Tune kind of right now, because I think you've mentioned this a little bit a couple of times, But I think the idea that the existence of autotune has changed the kinds of music that people are able to make who didn't have certain kinds of skills or whatever before, but also the kinds of people who might be coming into the music industry has changed.

28:23So I'm curious if you look at sort of the sweep of like who is making music and the music that they're making. Can you look at it as like autotune changed all of this? The fact that autotune is everywhere and can make anyone singing sound pretty good. Like has that changed the entire music universe? I kind of think about it more like the development of the electric guitar. It was like a new instrument that people could pick up and it created this new sound. And so I think young producers today want to sound like autotune. just as in the 60s they wanted to sound like Hendrix right like it's the sound that is attractive and so yeah it does let anybody sing but only lets people sing if they can't sing with the auto-tune effect and that's probably the thing they're going for anyway it's slightly surprising by the way that that that sound has been popular for this long right like we're we're a long way into this world and again you go all the way back to to t-pain in the early aughts and share even before that.

29:24And like the idea that people like the sound of autotune has lasted a really long time. That's why it's more like a guitar or a distortion effect. It's a feeling that it gives people. It's not about vocal tuning. Like this is what gets people angry. It's like, that makes you inhuman. But no, no, no, no, no. It's like the electric guitar is also unreal, right? Like it's generating electrical signals that has to be amplified by an amplifier. It doesn't have all the acoustic properties of a beautiful acoustic guitar, but it also sings and speaks in its own unique way. And so that's how I think about it.

29:54I think that young people wanting to produce music want to sound like autotune. I mean, truly, when you record with autotune today, it's not a post-processing technique. I mentioned it earlier. People put autotune on their vocal from the get-go, and they're trying to play with the effect to get it to do this weird artifacting thing. They like all the things that it does imprecisely. that's why they use the classic mode they want it to sound like this thing from 1998 they don't want it to sound like a pristine pure tool that allows them to sing better it's not about that interesting so explain that to me a little bit because i think one thing i've read a bunch is that one big shift was when autotune went from a thing you did in post after you laid down a vocal track like it was a it was a post-processing tool to now something that you do live in the beginning and And there was a line in the, there's a really good Pitchfork story that you sent me about the history of autotune.

30:53Oh, by Simon Reynolds. Yeah, spectacular. There's a line in there that's basically like, there are a lot of singers who have never heard their takes without autotune. That is like, just my brain exploded thinking about that. And so, but you mentioned like thinking differently about the way that they're actually making this stuff in real time because of autotune. What does that look like? What would it be like in the studio to record in a sort of immediately post-AutoTune universe? I mean, people do this not just in studios, but in home bedrooms. I mean, the biggest stars in the world would intentionally travel to Hawaii to record and record in an Airbnb.

31:28They bring a microphone. They bring a portable, small recording interface. Oftentimes, they'll use one called the Universal Audio Apollo that allows you to run AutoTune on this little interface live without any sort of latency. so that when you're speaking into your microphone, you just hear yourself through autotune. And then they are singing, trying to get it to do things that make weird autotune-y sounds. I'm bad at singing with autotune. You actually have to be good at using the effect to make it sound right. You have to intentionally sing slightly out of tune to get it to sort of bend back into tune.

32:04You have to... So if you sing well, it actually doesn't get to do anything, so it doesn't work. Yeah, it's not going to be interesting. Yeah. I don't sing well, by the way. I'm not a vocalist, but like I am not good at using auto-tune to make it sound fun and creative. You actually have to be talented at using auto-tune and practice with it. So yeah, it's something you like bake into the sound before it even goes into your software. Like you can't turn it off after the fact now. Some people still do, but like a lot of people don't want to hear what their voice sounds like without it on. This is what I'm saying where it's like I think of it more like the electric guitar because to play electric guitar with a lot of distortion is fundamentally different than playing classical guitar.

32:43And if you ask a classical guitarist to play a super distorted electric guitar, they might not be able to control all the feedback that it creates. They might not be aware of how to get it to sing properly and vice versa, you know, like a fast lead guitarist on electric guitar might sound absolutely terrible on an acoustic guitar. It's a skill that you have to learn to sing into autotune. So you actually think of singing into autotune and singing without autotune as two just utterly different skills? I think that they are related skills, but to make autotune sound good, I think you've got to be good at it.

33:16Again, it doesn't necessarily mean you have to, I'm not arguing that you have to go to music school to learn how to do this, but you have to practice at it. It takes time. It's a skill that you have to develop as a musician. And when I do it, I don't sound good. It is common that people will use autotune to practice melodies and, you know, use it as a way of dealing with the fact that they aren't good vocalists. But again, I think that if you want to sound like T-Pain, you have to practice singing like T-Pain. And again, T-Pain is a great vocalist. Cher is a great vocalist. They're just not doing the same thing as, you know, Frank Sinatra was decades ago.

33:51It's just, yeah, it's just a different way of singing. Yeah. I feel like there are going to be some people who hate that, but I find that kind of fascinating. I love it. I think there are a lot of people that are not going to like what I just said, but I really believe it. We'll put Charlie's email in the show notes. You can tell them yourself. Thank you. I just know this through practice of working with musicians in studios, and some people are really good at using autotune and other people aren't. Yeah. How does that pertain to live music? Is it the same sort of thing as autotune has gotten more powerful?

34:21It's just present live the same way it is in recordings and it's fine? once again there are both ways of using autotune live some people need to have that effect on when they sing because like if you're travis scott and you're performing live in concert that is your sound so they developed ontario's developed an autotune live tool that you can run you know through your microphone on a live stage it's not baked into the microphone it's an effect down the audio chain at some point sure there is also autotune live used for that subtle vocal tuning to help people. You know, when you're running around on stage, it's exhausting.

34:57You might be out of breath. You're not hitting your pitches as effectively. There's all kinds of ways that vocals are enhanced to sound more like the original recording. Subtle auto-tuning is one version of that. Also playing backing tracks of like a thousand chorus vocals that are perfectly already in tune is another way that things sound more in tune when you're at a live recording. Yeah. So you sing the one, but there's 50 other yous singing it correctly around you. Yeah, yeah, yeah, exactly. I want that every time I sing. I know, totally. It's like, I always want my backing tracks. That's because people expect the recordings that they hear.

35:28And when you listen to your favorite artists, they're usually in the chorus singing at least nine versions of the track to add depth, width, chorusing. Like the thing that just makes it sound big and awesome. And, you know, bringing eight extra backup singers on tour is expensive. So you might just play the backing track and add a little tuning to your vocal because you're out of breath. So those are all different ways that people use autotune live. Either the auto-tune effect or the sort of more subtle pitch correction version of it. What's the like simplest, most mainstream version of that at this point?

36:01I think about the maybe video is a good metaphor, right? Where at the very high end, you have super high end video editing software. But we've boiled it all the way down to like you can edit pretty successfully inside of TikTok. And it has made it available to tons of people who are doing tons of different things. Do we have that equivalent for auto-tune? Like, is that just available to regular people in the way that like Instagram filters are? Yeah, I mean, there are iPhone apps that are like the autotune effect that have been developed by the Gregory brothers, who famously made autotune the news years ago.

36:34You don't have to call, they confess, we're looking for you, we gon' find you, we gon' find you, so you can run and tell that. If you buy Apple's Logic, which is their audio recording software, it comes with their own free version of pitch correction. Every software developer that makes audio tools has tried to make their own autotune effect, and they are cheaper than the Antares version. So there's all kinds of ways of getting into autotune if you want to try to autotune your vocals. It's very accessible. Okay. And is that a good thing? I feel like you would argue that's a good thing. Yeah. Yeah, I don't know.

37:09It's like, are you trying to argue that there should be like fewer paintbrushes and paints in the world so that we can have more Monet's? I think more creative tools for more people is great. yeah i i support it so there is one sort of new backlash to this that i i'm i've been thinking about a lot and i'm curious to get your feedback on so one thing i see on on tiktok and instagram and everywhere else these days is like these videos of singers in their kitchen or in like a garage or just wandering down the street singing these these beautiful soulful melodies do you do Do you know the ones I'm talking about?

37:47There's this one that's like a guy with a salt and pepper beard and he's just pouring coffee and his girlfriend is standing behind him and he just starts singing into an AirPod. And it sounds incredible. You let me clear up from the world. You didn't know I'd bring.

38:05And I'm like, first of all, the way I know this isn't real is because AirPods don't sound like that and you're lying. But like all that aside, there's been this really fascinating thing where a bunch of singers have, come up and gotten a lot of a lot of fans and a lot of fame and like record deals and some stuff out of these social videos that's a very like natural you know musician creator way to come up but then in every single one of their videos there is this giant comment section saying oh they're using auto-tune i'd love to hear what it sounds like without auto-tune it's auto-tune and it's like on the one hand maybe the argument is who cares but on the other hand it's like we're in this moment where authenticity is everything and also you're standing in your kitchen singing so the idea that i'm supposed to process this like a professional recording there's a disconnect there that i have always struggled to wrap my head around how i'm supposed to feel about this and i'm curious like if they were playing an electric guitar i'd be able to see the electric guitar right so i'm curious how you think about how auto-tune is supposed to fit in that version of music that we're in right now well i think auto-tune has become a sort of like catch-all for any sound that is post-processing that makes things sound more perfect than they are so yeah for example like if i'm singing in my kitchen there's going to be a bunch of reverb and it's going to sound really bad but there's all kinds of tools you can use to get rid of reverb after the fact uh there are ways that you can use just eq and compression and other very common tools and post-processing to make your voice sound better uh so even if i record with an iphone i can get my iphone to sound pretty close to a professional recording by having good processing tools.

39:44I think autotune has just been, yeah, is the catch-all enemy for anyone who doesn't like music, which is slightly unnaturalistic. I just want to say, if you don't like the sound of autotune, that's fine. Like, I think it's totally fine to have your taste. If you prefer how Sinatra sings, that's cool. Like, if you prefer how punk rockers sing, that's also fine. There are different aesthetics, and autotune is just one of them. It is the one that's really popular at the moment. If you feel that it's like, it sounds unnatural, I don't like unnatural, that's fine. But it just is another way of singing.

40:22And I think that this criticism is a bit overblown. Okay. I guess I agree to a large extent, but I do think there is something that I've, I just can't sort out inside of me that there's something about autotune that feels like hiding. that it's like if you're if you're if because i actually i buy the thesis that there are things that sound like autotune but i i do think and and maybe i'm wrong about this that there is still a real use of autotune that is not designed to be seen right like if you're right that 90 plus percentage of music is using autotune in some way like i don't know taylor swift is is not somebody people like she sounds like autotune but she's using it and there are people really pissed about that and yeah and because they're like oh it's dishonest in some way that this isn't actually what you sound like this is this is you this is the equivalent of like putting a face filter on yourself before you post a picture which is now another thing people have sort of visceral reactions to online in this moment of like fake authenticity and i don't know like do we need is there like is there like an auto-tune watermark that should exist on every song that uses it.

41:34I don't know. Well, okay. So, so you're, you're getting at this question of like authenticity, just with the pop star. Like we want something about us wants our pop star to be sitting right next to us, our best friend telling their personal stories. And yet we know that they're recording it in a professional studio, working with producers and songwriters to make this presentation, which is exciting and, you know, it enhances all of our emotions. So there's always this conflict about what is real and unreal in recorded music. And I think especially in pop music than other forms. We don't expect our actors to be themselves in a film.

42:05And yet pop stars are putting on a performance. And yet we have this expectation of they are who they say they are. You brought up Taylor Swift, for example, and Taylor Swift uses all kinds of vocal processing in her music. On the song Delicate, she uses a vocoder. On the song Midnight Rain, she uses a tool called formant shifting, where she sort of shifts the voice to sound more masculine. I don't like the moments in a Taylor Swift vocal where I can hear audible pitch correction done poorly. And I've heard it done one or two times. Sometimes when you're producing a song, you need to get it out fast for whatever reason.

42:42Getting these pitch tuning tools to sound natural actually is a skill. You can get paid a good amount of money just to do the really slow version of hand-drawn autotune. This is a big part of the craft. And what you're trying to do is make something which was a beautiful emotional performance be a little bit more in tune. And if you do it wrong, you hear this weird artifact that's unpleasant. I don't like when I hear that because it's the attempt of a naturalistic performance clearly being manipulated. you have to hide the tools you're using to clean things up in order for it to sound good. In the same way that a photoshopped photo that is poorly done and you can see some kind of weird, like, the anatomy of the person isn't right, we don't like that, even though we completely accept that every single magazine photo is photoshopped.

43:36Interesting. So there's a real, as long as you don't make me think about it, I can rock with it kind of thing. But it's like, as soon as you put this, you know, cognitive dissonance in front of my face, it's going to feel bad. Yeah. But otherwise, I can sort of internalize that it's happening. I just don't have to think about it. It's the same thing with CGI, right? So I just watched Alien Romulus recently. Nice. And the CGI of the android character is trying to recreate a deceased actor and it doesn't work. It's so obviously inhuman and even though they're an android, it's just like, it doesn't look right.

44:10But the rest of Alien Romulus is like full of CGI and at no point am I like, that alien just doesn't like feel alien enough to me so it's it's all about the context in his presentation anything which is supposed to be completely authentic and entirely natural that is processed we will perceive as that doesn't feel right things that are presented as i am a pop star on a stage and everything about me is like perfectly composed we accept that there is we don't accept we expect that things are going to have been enhanced so i just want to give everyone permission to be mad at auto-tune at certain moments, but when it's intentional, let go of it, whatever.

44:52Like if someone's trying to do it, let them do it. If someone's doing it poorly, fine, criticize them. Yeah, I like it. All right, we got to take one more break and then we're going to come back and talk about where we go from here. We'll be right back.

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45:37All right, we're back. Hello. Charlie, we've gone long enough without talking about AI videos on YouTube. We've arrived. Let's talk about AI videos on YouTube. So I actually want to talk about basically two different pieces of where I think things might be headed from here. One is AI and one is back to the kind of authenticity thing. Let's talk about AI first. And I bring this up because I think there is a possible future for AI that looks a lot like the arc of AutoTune that you just described, where tool becomes available. Some people use it like a tool and it's rendered mostly invisible and it helps in the process and it becomes a tool in the toolkit.

46:18Other people will use it incredibly aggressively and showy and it will allow new people to do new kinds of things. ultimately some people will be pissed off about it but eventually it will just be rolled into how the music industry works and may even become like the dominant aesthetic in the way that autotune is could be totally wrong but i i there's something about that rhymes to me with where ai might be headed what do you make of that comparison well we'd have to break ai down into all the various ways that it's being used for music because ai is just sort of like a process that can be used in lots of different ways, from writing lyrics to separating a stem recording so you can separate the bass and drums and vocals and instruments from a recording, to generating whole songs for you from a prompt.

47:02There's so many different ways that AI is being used, some of which are maybe more invisible. For example, like if you use ChatGPT to help you find a rhyme, there's no way that I can identify that you did that. Except for that sometimes ChatGPT makes really bad rhymes. It's getting better and better. It really likes to rhyme like do and to, and it's like, great job, ChatGPT. Yeah, that's the thing. AI songs and poorly written songs use too many perfect rhymes. They're kind of just overly sweet, really bad single syllable perfect rhymes. That's the tell. But I don't think we've seen a tool yet that is marketed as an AI tool that has become a predominant sound in popular music.

47:43There's all kinds of AI tools that I use in my music production, but I don't think of them as AI. So like I use a Deverb plugin if there's too much reverberation in a recording and like technically it's using a neural net, but it doesn't really have a sonic fingerprint in the way that Autotune does. So I imagine there will be some kind of effect that will use some kind of AI neural net in its thing that will become a sound. But the AI as a methodology is sort of too broad to say that, well, we're going to hear AI in the future. Does that make sense? It does. And I think I hadn't really thought about it like that until you put it like that, but it is maybe the strength and weakness of AI is that it doesn't have a mark in its way.

48:26Like you can make an AI song that sounds like anything, but it's never really going to sound like itself in a way that is, I think, by design, right? Like all these tools are meant not to sound like themselves. They're all trying to mimic something else and they're all generally doing a bad job of it. And that maybe it would be more interesting if they had, like, if you went and made a song with Suno, that it sounded like something. And that maybe there is something to that that is actually missing from these tools. You know how like if you try to currently make an image of a person in Dolly 3 or Mid Journey, like it kind of has there's a style, there's a default style.

49:06And obviously there's all kinds of way you can get around that style. But it's this weird, somewhat cartoony, magazine glossy, very thin, like very white. Well, and there are the things, right? Like you look at the fingers and you look at the lapels and like they have their tells in that. They have their tells. Yeah, exactly. So right now, if you use tools like Suno or Udio, they do have their tells. And perhaps, you know, in 20 years in the future, people like I want to use classic Suno because I like the things that it does wrong. What are those tells? Like, how would you describe this? um okay so first of all a lot of it's trained on actually really low uh sample rate and bit rate uh mp3s uh just to like reduce the size of the uh of the data and so there is this like grainy hissy sound like it sounds it sounds like a bad mp3 from 1997 being played in winamp uh or maybe maybe like more relatable for folks would be like if you turn on am radio am radio has a sound where it's just like not quite high fidelity.

50:04There's a low fidelity sound. The sounds of instruments are strange. Like, okay, take for example, a horn section. If you try to make like a funk song with horns, the great thing about a horn section is nobody hits the note at exactly the same time at exactly the right pitch. The excitement is the subtle differences of eight horns all trying to do their thing at almost the exact same time. And that actually, that inhuman imperfection is what makes it sound really good. AI oftentimes just like makes it all too perfect. Same with vocals. The vocals sound actually pre-tuned. And so you can identify these things.

50:46In addition to the vocals are, the lyrics have way too many perfect rhymes, et cetera, et cetera. I actually assigned my students to NYU. One of their assignments was go to Suno, prompt it to write a song, grade that song based off of everything that you've learned in class. Now write your own song from the same prompt. And all of my freshman students wrote significantly better songs than the Udyu and Suno song. And most of them threw them out entirely. I asked them to try to incorporate elements of them into their track. And they're like, it's too hard. It's too bad. So, but maybe this badness could be something that we like in the future.

51:21Yeah. And that comes back to the other thing I want to talk about with this authenticity thing. I think a theory that I'm starting to hear more and more from people is that the next phase of culture in so many ways is going to be a spin all the way back to, again, whatever you want to think of as like, quote unquote, authentic stuff. Let's call it punk rock. Yeah, it's right. And people are going to deliberately start releasing vocals that sound worse because they are more honest somehow. And we're going to go back to not using the internet in the ways that we've been using it. Like this idea of just sort of eschewing all of this stuff because it has made us not ourselves anymore.

52:05And going back to like, I don't know, I'm going to I'm going to just put a bunch of instruments in a room and record like the Beatles 60 years ago. And that that is the next thing. Who famously used the music studio for all of its wild creative tools and use all kinds of post-processing vocal tools like Verisbeed and etc. So I'm just saying we've always been doing this. But yes, I hear where you're going. Again, the question of how far back do you have to go to find something quote-unquote authentic is a good one. We're all going to play the mandolin, guitar, and banjo and violin and sing in old-timey bands is what you're saying.

52:40Yeah, and if I sang flat on the take, it's going to be flat on the record. And I would say, historically speaking, there have been a lot of people who want us to go that way, and we have never, ever, ever gone that way. but I do think there's a reasonable argument that AI is like the end of a certain road of inauthenticity that maybe we are due for a pushback the other way. I think that that's a completely acceptable expectation. Like we've seen that trend many times in the history of popular music in the rise of electronic recording and the electric guitar, louder sounds and rock and roll. You had the folk resurgence after the super highly produced era of the 1980s, you had grunge as a pushback to that.

53:25So I think it's completely likely that we're going to see new sounds and styles emerging that do try to hearken to our most human sound as a pushback to anything that is AI. At the same time, I wonder if we've already reached peak authentic. Because if you go on TikTok today, I feel like every other thing on TikTok is the TikTok shop is some sort of advertisement and it's all filmed the exact same way. It doesn't matter if it's a creator with 10 likes or if it's progressive insurance, it's all like, Hey, I'm holding my phone. I'm backlit. I'm just like talking naturally, just shooting the breeze, whatever.

54:04Oh, and by the way, this is a progressive insurance. And so it's already been that like the authentic human thing in video has already been co-opted by advertisers. So where people go next, I think it might be weird. It might be something like auto-tune that is the effect of the next generation of music. Do you have any theory about what that might be in this world? What are the teens doing that is going to seem crazy to the old folks in a couple of years? They're still using a lot of autotune. It's not going anywhere right now. It seems like we have a... I joked about everybody playing the mandolin, and there does seem to be a Lumineer-style resurgence.

54:45And the music of Noah Kahn is a great example.

54:51I was going to say, thank you, stick season. Yeah, exactly. So I don't think there is the emergent thing yet. People are still having a lot of fun making music on their computers because it's the easiest way to record. So I think we're seeing more a branching of many different kinds of expression than a solidification around one sound. can i tell you my theory and i'm very curious what you think of this my theory is that the uh like voice memo demo is going to become an actual honest to god like genre of music oh interesting yeah i think that you see this all the time right where like the a song will come out and then like charlie pooth does this all the time uh he'll he'll go on tiktok or or whatever at some late night show and play his demo of the song where he's just like sort of inventing the melody in his head and trying to get it down into his phone and that part of me is starting to wonder like maybe we're going to get to the point where the the polished thing and the unpolished thing actually get to live next to each other if if instead of there just being sort of one canonical finished version of the thing what we actually want is lots of different experiences of this same kind of thing all the way down to just like the artist riffing into their phone for a minute and that that like we want to experience all of that as fans the new halsey record has multiple tracks that are exactly that that are basically like voice memos and demos and things that are interspersed and you know that that has a long history of like interlude tracks on hip-hop tracks that are kind of like oh this is a phone call but i i i like that i mean i want to just point out one other trend that has popped up as well as like the return to 1920s 30s jazz yeah or like what you might call classical pop with the artists like loyve who are making things that are a false nostalgia for music which is a hundred years old and that young people are into so yeah there's all kinds of routes uh i don't know if i really want to hear a lot of people's voice memos as we look at you know we're 27 years into autotune uh which is a long time in music genre and in pop music.

57:06Do you think if you fast forward a while, we will look back at this as kind of an autotune era in the way that we've had sort of distinct eras in music and it'll linger, but like the idea of autotune being kind of the dominant sound of music will go away and will be replaced by something else. And this will be the autotune moment. Or is this just going to be how music is forever? What's amazing about all listeners, whether they're a trained musician or not, is they can turn on a recording and often tell you, oh, that's like an 80s thing and I don't like the 80s. And the reason why they can do that is because snare drums were produced in a very specific way for the 1980s.

57:43There's lots of other production techniques that sound 1980s. And every era has these sonic artifacts of their moment. And they place them in time the same way that a point-and-shoot Kodak photograph from the early 2000s screams early 2000s. You can even have AIs generate things that look like point-on-shoot Kodak photographs, which are actually having a comeback. I've been at birthday parties recently where people are handing these things around to get that aesthetic. Yeah, people are out here buying, like, cool pics cameras from 2003 again. Exactly. And so I think that, you know, 20 years in the future, it may be that autotune is no longer the predominant sound.

58:19I think that's probably likely. But when someone's like, but I want to sound like, you know, 2008, they're going to use that again as an act of sort of creative nostalgia. So I think that we have been in the autotune decades. We'll probably move beyond it. But in the same way that like the electric guitar is not the most popular instrument today, but it's still ubiquitous in recording. I think that autotune will be around in some kind of form and it might just sort of fade into the background and pop forward later on. Who knows? Okay. But right now, we're still very much in the autotune era. I mean, I think the coolest record of the year was Brat by Charlie XCX and she admits that she has no longer has the ability to sing without autotune because it's just so part of her sound.

59:03She's like, I don't sound good with autotune anymore. And that record is amazing. Yeah. Yeah, if autotune is what it took for us to get Brat, I'll take it. We'll be all right. Amen. All right, Charlie, thank you so much as always. This was really fun. Thanks. All right, that's it for the Vergecast today. Thank you to Charlie again for being here. And thank you, as always, for listening. There's more on everything we talked about in the show notes. I highly recommend the Pitchfork story on the history of autotune. There's a ton of good stuff in there. I'll also link to Switched On Pop. So many great episodes of that show that you should listen to.

59:36Truly cannot recommend it highly enough. As always, if you have thoughts, questions, feelings, or other autotune songs that belong in the canon of AutoTune over the years? Please tell me. You can always email us at vergecast at theverge.com or call the hotline 866-VERGE-11. We love hearing from you. We have a bunch of fun hotline stuff coming up between now and the end of the year. So get your questions in. This show is produced by Liam James, Will Poore, and Eric Gomez. The Verge Cast is a Verge production and part of the Vox Media Podcast Network. We'll be back with your regularly scheduled programming on Tuesday and Friday.

1:00:08Lots of news, lots of stuff going on, lots of fun things to talk about. We'll see you then. Rock and roll.

1:00:22Off the top of your head, give me an intro to autotune playlist. What are, like, for somebody who is like, I want to experience autotune, what are some songs you would just recommend off the top of your head? Okay, well, I would first go to other vocal processing techniques, and you'd have to listen to, like, Croftworks, Trans Europe Express using the vocoder. You have to put Harder, Better, Faster, Stronger from Daft Punk, not autotune technically. You have to listen to some talk box like Show Me the Way by Peter Frampton, Living on a Prayer by Bon Jovi, California Love by Tupac and Dre. And then, you know, obviously you need to have Lollipop on there because I mean, what is autotune without Lollipop?

1:01:04You need what else has to go on there? certainly Travis Scott highest in the room the entire album of Brat but if any one song I'm more of a 365 than a 360 so I'm gonna say 365 Drake's In My Feelings Shares Believe T-Pain's I'm Sprung and I'm not gonna recommend Maroon 5's She Will Be Loved you also left out Blue by Eiffel 65 which I find personally outrageous but no that's because I mean that is I would have to have like a consumer warning on that playlist if you put blue on there because it is it is a devilish earworm. But I did say Lil Wayne's lollipop. So, you know, it's true. Proceed with caution.

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From the publisher

For the second episode in our three-part miniseries about the future of music, Charlie Harding, a music journalist and co-host of the Switched on Pop podcast, joins the show to tell the story of Auto-Tune. He walks us through how a simple plugin became such a recognizable sound in music, why both artists and fans gravitated to the Auto-Tune sound, and why Auto-Tune has continued to grow even through backlash in the music business. Then we look ahead to AI, and try to figure out what — if any — lessons we might be able to learn about the sound and culture of the AI era to come.
Further reading:

Charlie Harding on X

Switched on Pop

From Pitchfork: How Auto-Tune Revolutionized the Sound of Popular Music

From Rick Beato: How Auto-Tune DESTROYED Popular Music

From Gabi Belle: The Problem with Autotune on TikTok

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