I wanna know too 🥲 But my guess would be to use the main formant frequencies and following the main ones with the 3 sine waves so that would likely be manually done with just a frequency shifter and an envelope on each, and automation curves that can follow the main formant frequencies *or* manually made from looking at the spectrum analysis
It made with independent FM synthesis of each sine. You get fft of original, take the first 9 (approx) significant harmonics. Split them into 3 groups by 3 sines. After that find amplitude and freq of modulator. And that's it. It's like very strange way of filtering of original sound.
there is a program called pratt, kinda forgot how the name was spelled... but it some some software was ment to look into speech or something? anyway there is a script out there that let's you do that sin wave trick, wish i could give more info but yeah hope this helps
I was shocked because it seems to be nearly the exact same effect as the synthesised voice in cursed trollface memes, like ua-cam.com/video/MmpCFB3Sk9Y/v-deo.html
this is one of the best videos on audio i've ever watched. it's the first one that actually follows the golden rule of "show, don't tell", and that makes all the difference. damn your channel is a gold mine.
I always knew as a fact that sound is made up of waves and vibrations, that's what we're taught... but this has given me the understanding like absolutely nothing else, easily becomes one of my favorite videos of all time, Mind blown.
This is the perfect kind of video introduction to physics/sound, it should be played at schools. It gets you interested in the subject, giving motivation to research further and learn more on the topic.
At 7:12 you say that what ultimately hits our eardrums is a single sound wave. This is true, but the next step, which I think is fascinating, is that your inner ear splits the sound wave back into its component frequencies, and the amount of each frequency is what gets sent to the brain.
I remember hearing the term "the golden ear" around other sound engineers. I never knew what it meant until one day I realized, its not the ear, its a persons brain. some people can process audio in their brains differently.. just like anything else I suppose.
@@rino1268 By definition frequency - is how much times signal repeats in a, lets say, second. You can measure it for everything, that repeats with constant speed. In context of the video - it consists of several sine waves. Or it is better to say we can find the set of sine waves, that will make this signals. You can use the fundamental frequency then, as others "create shape" (like sawtooth, square, triangle, etc.). If signal is not periodical (like whole song) - you cannot really define fundamental frequency, as it is, well, not periodical. It means - it doesn't repeats perfectly through its duration. So, no repeats - you cannot apply term "frequency" to it.
2:44 as soon as it said "Square Wave" I almost had a heart attack, lol. I feel like my entire knowledge of music production has been unlocked from trial mode.
@@victorfunnyman They learned how fundamental sine waves were to seemingly unrelated concepts in music, and they feel as if their knowledge has been "unlocked" as you would "unlock" a game out of demo/trial mode.
I put my day on hold when a new video comes out. Also, I was writing software one time for a machine which needed a buzzer sound. Customer supplied a buzzer noise which even at the smallest file size was too big for the chip to store. Instead, I did an FFT to find the harmonics and amplitudes of the sound, then wrote a few lines in the software to play corresponding some waves back. Saved a ton of space. Then realized I had to explain to the customer why it's not just a drag and drop to try new buzzer sounds.
You just invented lossy audio compression! A similar idea that for example MP3 and many other audio formats are based on. And also JPEG, and lots of other non-audio formats...
In fact an FFT is just an algorithm to calculate a Fourier Transform. And not a specially good one as it generates artifacts there are not related to the original signal, but it has the advantage of being ...well Fast. And he approached more Fourier series than Fourier transforms as Fourier transform can give you any component, not only harmonic components.
@@ArmiaKhairy DFT has artifacts...the begin and end of a nonperiodic signal introduces high frequencies...a real Fourrier Transform is an integral from -infinite to infinite. If you create a window, in the borders you introduce frequency artifacts.
@@agranero6 in numeric sound there is no such thing as infinity, and you can (rather easily, for that matter) produce a DFT that has effectively 0 artifact, when compared to your - already discrete - original signal.
@@xelnagazchild This doesn't change the fact that you will NEVER reproduce back a finite wave train without distorting it on the edges using finitary methods: EVER. It is that there is no such thing more like we ignore such thing. Yes you can theoretically reproduce the real sound with a high enough sample rate or a high enough frequency coverage. As in real world we don't really have finite wave trains as physical systems dampen those frequencies. But MATHEMATICALLY you simply can't. This is a theorem and no amount of comments can change this simple fact. This may not seem important in sound reproduction, but Fourier series are used in so much more things than that and no amount of DCTs will solve those problems. This is the problem with scientific popularization that skips math, makes things seem simpler than they are. And nature has an incredibly amount of detail.
"Every sound is made from an infinite number of sine waves" might be more clearly expressed as "Every sound can be *represented* by (the sum of) an infinite number of sine waves". Even though the first statement is correct I think it's an important distinction that it is not the same as how (for example) any object is made of atoms, since sound waves are generally non-discreet and we are talking about a mathematical representation (eg. fourier/decomposition). Great video!
you picked the wrong thing to be pedantic about, checkmark. the abstractions go all the way down. objects aren't "made of atoms"; their empirical properties are modeled by atoms, just like we model sound with mathematical functions. they're in the same ontological class. i'm not sure what you mean by "sound waves are generally non-discrete" but the fourier decomposition is equal to the signal, so if the sound is represented by a continuous function than the sum of fourier components will be continuous as well, because they are the exact same thing. if you wanted to nit pick, you should have pointed out that the decomposition into coefficients of sinusoids isn't unique or particularly special. just as 1+1 and 3 - 1 are both equally valid expressions of the same quantity, so too can you decompose signals into an analogous infinite series derived from all kinds of different periodic functions.
I would suggest that the difference between the "representation" sense you describe and the colloquial idea of 'made of' is that 'made of' suggests a unique decomposition, whereas sine waves are just a computationally convenient choice in an infinite space of equivalent choices (trivial example: decompose as cosines, or complex exponentials, instead of sines. Wavelets are a less trivial example). But ironically, an object is actually "made" of atoms in a sense that is precisely analogous to how waves are made of sine waves, and the decomposition in the number basis (that is, the basis in which there is a well-defined number of particles) is not the only one possible. Edit: oops missed the comment above saying essentially the same thing.
I mean even then its not completly correct en.wikipedia.org/wiki/Gibbs_phenomenon I would say you can aproximate everything to the point you can't hear the difference.
the first time i watched this video i was stoned asf, and i barely remember anything, but his voice still stuck in my head. this guy has the softest voice ever
Autotune kinda works similar. I think the naive autotune algorithm just takes out a bunch of frequencies and shifts the ones it keeps to the nearest harmonic.
This is so tremendously made. You've used editing and pacing to present the points with such clarity. I wish every video about technical topics was more like this.
Nice video, as a music producer I'm vey familiar with the topic and this demostrantion was very straight forward and entertaining. Even that people aren't aware of these concepts, it was already very introduced in popular culture, just remember that overused sound timbres from the 80's that tried to mimic real instruments, usually was made by the Yamanha DX7 that generate sinthesis modulations only with Sine Waves.
A great example of a song made entirely just by editing sine waves is "Stranglehold II: Letting Go" by Jeroen Tel, I'd never really thought much could be accomplished with just sine waves until I heard that. It's a 26 channel tracker song made in 1997.
@Professor Frog You don't understand mate. He didn't sample, he didn't use instruments; the man took sine waves, altered them manually and through that painstaking and laborious process he ended up with those masterpieces.
As a musician who's studied music theory, it's fascinating to see how many pitches go in to creating a single written note. Seeing it represented really shows how notes written on a staff don't paint the whole picture of what's going on with the sounds produced.
I remember comparing a sine wave at the same HZ to my guitars low string and I was like "why is the sine wave so much deeper?!" Turns out the guitar string has a shit ton of harmonics all higher in pitch ringing out with it.
Electric guitars are great examples of this. So many songs I've tried to learn by ear often use very different chords than what the ear guesses. Tommy Iommi's opening riff in Snowblind, SRV's Tightrope, and an EVH song that is at the tip of my tongue. There're many that I can't recall. Oh, Whitesnake Still Of The Night.
This video is like the nicest fever dream I've ever had. Also it helped me finally conceptualize why different instruments have different voices. Obviously a piano and a violin sound different even when playing the same note but now I can actually explain WHY that is. Same frequency, different harmonics! Thanks!
6:12 sounds just like the one computer voice from the game Portal. Overall very fascinating video. I don't know how I found your channel but it's interesting and relaxing at the same time to watch your content. Thank you
i dunno if you can consider square or saw waves as sine; i guess in translation to speaker there's the physical oscillation with similar characteristics but only as you move to bigger diaphragms and lower frequencies. some birds (particularly weavers) produce variable frequency clicks repeated 5-12Hz, songs of granular and abrupt noise lacking in curvature. or so it seems.
Just amazing! It's so cool to see all the different waveforms broken down like that. I had no idea that different waveforms are created by harmonics (made up of varying frequencies, amplitude and phases). I love the part at the end! I've done that many times playing around with knobs in LMMS. Very fun to learn though!
I've always found videos explaining how sound is made up always digged down to the very fundamental (literally!) level, but then stopped "building back up" too early -- which was not nearly enough to explain _how_ those sine waves become the extremely complex sounds we hear everyday. For the first time I've found a video that shows the **entire** process -- the part where you break down those increasingly complicated sounds into their harmonics is absolutely mind-blowing, and to top it off, you show the effect of adding more waves in your own voice _as you explain it!!_ This whole video is absolutely genius work, thank you for putting all the time into it!
so i've just found my new favourite underrated channel hope your work gets the recognition it so deserves! really happy to have come across this video in a random search for a sine wave haha
I'm re-watching this after about a year since the first time I did, and it makes even more sense now having really started looking what I do with audio under an oscilloscope. Even what we consider a "Square wave", has a very unique un-square-wave like presentation when really analyzed that way. Its fair enough we call it that, but it still has all the wavy characteristics of a sinewave in all reality.
it is unbelievable when you receive radio signals as music and voice and hearing hundreds of harmonic layers combined as like one single sine wave contains all of these harmonics and you listen to it.
Mind-blowing. I was wondering how can speakers reproduce an infinite ammount of sine waves, when the majority just have one audio-emitting thing (idk how it’s called the thing that makes the air vibrate). So basically, in order to reproduce those infinite ammount of sine waves (thus, recreate sound), they would’ve had hundreds or even thousands of those audio-emitting things, each one reproducing a single sine wave. Now I understand that every sine wave just combines with each other. And that’s how sound like is emitted by speakers.
@@lovelypeachy6493 that's correct. 'this combining' is called interference and it can be constructive and destructive -in infinite degrees/levels. going back to speakers, called transducers because they transform one form of energy into another (electromagnetic energy into acoustic energy), they are one of the most inefficient 'electrical motors' we use. for most speakers, more than 99% of the energy is wasted w/ only 1% ending up in sound energy.
Following up the two first videos, I (a sound designer and musician) arrive here. Already a subscriber, and now I'm blown away. You are a creative genius, and I'm so happy I found your channel...
This video does a great job of explaining the concept behind Fourier series and its counterpart, Fourier Transform. Not only that, but it does so without getting lost in a sea of technicality and math jargon. This kind of math is actually used to describe a lot more than just sound waves. It can also be used to solve differential equations, process video signals, describe the behavior of electronic filter circuits, and even model how energy will disperse over time.
Listing a bunch of stuff makes it sound impressive. But as far as the Fourier series/transform is concerned those are all the same thing: signals. Yes its usefulness is hard to overstate but I think the idea of the signal itself is more revolutionary. All the Fourier stuff makes sense intuitively once you've thought hard about what signals really are.
There's just this one thing: The author/creator is confused about the model and what it models, which is unbelievably stupid - but a testament to the incredible effectiveness of Fourier analysis/synthesis, I guess. Nowhere in e.g. a piano, a loudspeaker or vocal tract is there separately oscillating perfect sines. There's just continuos movement - different at various positions, of course.
Hey man ive been listening to this for over 10 years. Sometimes i will listen bwcause its literally the most awesome piano piece ive ever heard right on bro cheers !
This video is legendary, every single person who wants to do anything in audio production/engineering should watch this and take notes. Thank you, Posy
This is one of the only channels I actively go out of my way to make sure I watch it on PC due to how good it looks and sounds, a regular phone just doesn't do it justice! Great content, keep it up!
Anyone curious, look up Fourier. He was the one who figured out that any repeating wave, not only sound, could be made equivalent to a sum of sines. Sound is just where this relation is more evident, as we can actually know how a sine sounds like.
Your videos are amazing, informative, interesting, well edited and your voice can be used as a tool to fall asleep, and that makes your chanel even more amazing. Keep uploading more videos sir. :)
Me too, I cant figure out what's being done in harmor here! I feel like I've stumbled upon something similar in the past, but never done it on vocals...
It was so impressive, and answered a bunch of questions I've had about harmonics! Great stuff!! P.S. I hope the channel is currently experiencing an explosion on UA-cam :)
7:18 Me realizing that the 4 dimensional properties of composite sine waves can be visualized in 2 dimensions with high enough resolution, after decades of self study in synthesis and audio physics, and having my effing mind blown.
I just discovered your channel and this is honestly the best combination of interesting, hilarious and well produced content I've found in a long while.
Every sound is made from an infinite number of sine waves.
You could say that we all speak sine language.
👏🏼👏🏼👏🏼
Haha 🙌🏽
Language =/= sine waves
@@HappyButtHole EVERY sound.
@@Wesley_H Yes
OK but seriously how did you resynthesize speech with 3 sines at 5:45?
I wanna know too 🥲
But my guess would be to use the main formant frequencies and following the main ones with the 3 sine waves
so that would likely be manually done with just a frequency shifter and an envelope on each, and automation curves that can follow the main formant frequencies *or* manually made from looking at the spectrum analysis
It made with independent FM synthesis of each sine. You get fft of original, take the first 9 (approx) significant harmonics. Split them into 3 groups by 3 sines. After that find amplitude and freq of modulator. And that's it. It's like very strange way of filtering of original sound.
there is a program called pratt, kinda forgot how the name was spelled... but it some some software was ment to look into speech or something? anyway there is a script out there that let's you do that sin wave trick, wish i could give more info but yeah hope this helps
5:42
the 3 sine waves talking hit me like a semitruck
Very satisfying if you ask me
"All your base are belong to us"
voice synthesiser for commodore 64 sounds similar
@Aleksandar Milović exactly
I was shocked because it seems to be nearly the exact same effect as the synthesised voice in cursed trollface memes, like ua-cam.com/video/MmpCFB3Sk9Y/v-deo.html
6:47 the way the bells could be rounded off into individual bell strikes literally sounded like magic
"I... believe..."
Reminded me of the PS1 intro's sounds
Extremely loud I meant just a little loud :) 7:43
6:37 this part is actually banging like holy shit
I want a full version of that.
@@quadpad_music same
Ikr
reminded me of parts from: Justice - Safe and Sound
@@nickmeier1571 thanks for the indirect music recommendation :D
this is one of the best videos on audio i've ever watched. it's the first one that actually follows the golden rule of "show, don't tell", and that makes all the difference. damn your channel is a gold mine.
I always knew as a fact that sound is made up of waves and vibrations, that's what we're taught... but this has given me the understanding like absolutely nothing else, easily becomes one of my favorite videos of all time, Mind blown.
Really?
@@DiffEQ yes retired engineer, go make some turrets
Those tick boxes remind me of Twitter. So I dislike everyone with one.
This has been the way I've been visualizing my mixes for a few years now. It's insane how many different places Fourier analysis shows up
Dude, we learnt it at school. You are such a cringe.
This is the perfect kind of video introduction to physics/sound, it should be played at schools. It gets you interested in the subject, giving motivation to research further and learn more on the topic.
At 7:12 you say that what ultimately hits our eardrums is a single sound wave. This is true, but the next step, which I think is fascinating, is that your inner ear splits the sound wave back into its component frequencies, and the amount of each frequency is what gets sent to the brain.
Woah
I remember hearing the term "the golden ear" around other sound engineers. I never knew what it meant until one day I realized, its not the ear, its a persons brain. some people can process audio in their brains differently.. just like anything else I suppose.
But what is the frequency of non sin wave?
@@rino1268 not 100 percent sure but I dont dont theres such a thing as a non sine wave
@@rino1268
By definition frequency - is how much times signal repeats in a, lets say, second. You can measure it for everything, that repeats with constant speed.
In context of the video - it consists of several sine waves. Or it is better to say we can find the set of sine waves, that will make this signals. You can use the fundamental frequency then, as others "create shape" (like sawtooth, square, triangle, etc.). If signal is not periodical (like whole song) - you cannot really define fundamental frequency, as it is, well, not periodical. It means - it doesn't repeats perfectly through its duration. So, no repeats - you cannot apply term "frequency" to it.
2:44 as soon as it said "Square Wave" I almost had a heart attack, lol. I feel like my entire knowledge of music production has been unlocked from trial mode.
what do you mean?
@@victorfunnyman They learned how fundamental sine waves were to seemingly unrelated concepts in music, and they feel as if their knowledge has been "unlocked" as you would "unlock" a game out of demo/trial mode.
@@angeld23 not that
why did they almost get a heart attack from that (figuratively)
@@victorfunnyman Hyperbole for the surprise they felt upon realizing the truth of square waves
@@angeld23 BAZINGA IT'S ONLY THE ODD MULTIPLES
I put my day on hold when a new video comes out.
Also, I was writing software one time for a machine which needed a buzzer sound. Customer supplied a buzzer noise which even at the smallest file size was too big for the chip to store. Instead, I did an FFT to find the harmonics and amplitudes of the sound, then wrote a few lines in the software to play corresponding some waves back. Saved a ton of space. Then realized I had to explain to the customer why it's not just a drag and drop to try new buzzer sounds.
Oh wow, that's a really cool practical use!
That is very cool 😎
as a fellow programmer I felt that last part... costumers bah
@@PosyMusic so, can we see a woofer flex here?
You just invented lossy audio compression! A similar idea that for example MP3 and many other audio formats are based on. And also JPEG, and lots of other non-audio formats...
This was my "im not clicking this" of my reccomended. But I didnt notice YOU uploaded it! Time to watch
I'm kind of impressed that you can approach topics like FFTs without even mentioning FFTs!
In fact an FFT is just an algorithm to calculate a Fourier Transform. And not a specially good one as it generates artifacts there are not related to the original signal, but it has the advantage of being ...well Fast.
And he approached more Fourier series than Fourier transforms as Fourier transform can give you any component, not only harmonic components.
@@agranero6 FFT doesn't have artifacts, It calculates Discrete Fourier Transform Exactly but much faster.
@@ArmiaKhairy DFT has artifacts...the begin and end of a nonperiodic signal introduces high frequencies...a real Fourrier Transform is an integral from -infinite to infinite. If you create a window, in the borders you introduce frequency artifacts.
@@agranero6 in numeric sound there is no such thing as infinity, and you can (rather easily, for that matter) produce a DFT that has effectively 0 artifact, when compared to your - already discrete - original signal.
@@xelnagazchild This doesn't change the fact that you will NEVER reproduce back a finite wave train without distorting it on the edges using finitary methods: EVER. It is that there is no such thing more like we ignore such thing. Yes you can theoretically reproduce the real sound with a high enough sample rate or a high enough frequency coverage. As in real world we don't really have finite wave trains as physical systems dampen those frequencies. But MATHEMATICALLY you simply can't. This is a theorem and no amount of comments can change this simple fact.
This may not seem important in sound reproduction, but Fourier series are used in so much more things than that and no amount of DCTs will solve those problems.
This is the problem with scientific popularization that skips math, makes things seem simpler than they are. And nature has an incredibly amount of detail.
As someone who spent years suffering through wave theory, Laplace transforms, and Fourier series I greatly appreciate this video
"Every sound is made from an infinite number of sine waves" might be more clearly expressed as "Every sound can be *represented* by (the sum of) an infinite number of sine waves". Even though the first statement is correct I think it's an important distinction that it is not the same as how (for example) any object is made of atoms, since sound waves are generally non-discreet and we are talking about a mathematical representation (eg. fourier/decomposition). Great video!
you picked the wrong thing to be pedantic about, checkmark. the abstractions go all the way down. objects aren't "made of atoms"; their empirical properties are modeled by atoms, just like we model sound with mathematical functions. they're in the same ontological class. i'm not sure what you mean by "sound waves are generally non-discrete" but the fourier decomposition is equal to the signal, so if the sound is represented by a continuous function than the sum of fourier components will be continuous as well, because they are the exact same thing.
if you wanted to nit pick, you should have pointed out that the decomposition into coefficients of sinusoids isn't unique or particularly special. just as 1+1 and 3 - 1 are both equally valid expressions of the same quantity, so too can you decompose signals into an analogous infinite series derived from all kinds of different periodic functions.
I would suggest that the difference between the "representation" sense you describe and the colloquial idea of 'made of' is that 'made of' suggests a unique decomposition, whereas sine waves are just a computationally convenient choice in an infinite space of equivalent choices (trivial example: decompose as cosines, or complex exponentials, instead of sines. Wavelets are a less trivial example). But ironically, an object is actually "made" of atoms in a sense that is precisely analogous to how waves are made of sine waves, and the decomposition in the number basis (that is, the basis in which there is a well-defined number of particles) is not the only one possible.
Edit: oops missed the comment above saying essentially the same thing.
@@isodoubIet you said it in a nicer way than i did lol
My smol brain cannot tell the difference between these 3 comments other than the way the idea is expressed
I mean even then its not completly correct en.wikipedia.org/wiki/Gibbs_phenomenon I would say you can aproximate everything to the point you can't hear the difference.
the first time i watched this video i was stoned asf, and i barely remember anything, but his voice still stuck in my head. this guy has the softest voice ever
This video quality is something I expect from a channel with at least half a million subs, not 30k. I’ve subscribed and look forward to seeing more!
He had only 4.5k subs 2 weeks ago. Fortunately the algorithm has chosen him, super deservedly so!
Today he's at 193K subs! The pressure from here on.
it went X 10 Now added some Harmonics
This had to have been the coolest but most trippy video I’ve ever watched, oddly satisfying
So well done!! Thank you for this!!! The speech as three sine waves was mind-blowing.
Autotune kinda works similar. I think the naive autotune algorithm just takes out a bunch of frequencies and shifts the ones it keeps to the nearest harmonic.
I love your videos, especially because of things you do like at @ 6:35. Amazing.
7:44 is gonna be my new notification alert sound on my phone, thanks Posy!
Its like a fart powerful enough like a hurricane😂😂😂
That takes the sentence of “who farted”
To a whole new level
it was the sign waves. . . 😳😳
Awesome video!!
Was just curious, what microphone do you use? And do you EQ your mic for videos/recordings?
This is so tremendously made. You've used editing and pacing to present the points with such clarity. I wish every video about technical topics was more like this.
Nice video, as a music producer I'm vey familiar with the topic and this demostrantion was very straight forward and entertaining. Even that people aren't aware of these concepts, it was already very introduced in popular culture, just remember that overused sound timbres from the 80's that tried to mimic real instruments, usually was made by the Yamanha DX7 that generate sinthesis modulations only with Sine Waves.
The car alarm at the end is hilarious.
No sir I wasn't trying to break in.
I farted on your car
spoiler >:(
Really
@@snakearux2. Why are you on the comments before finishing the video?
@@ddnava96 why cant i what is stopping me?
what a great video - such an elegant way of visually explaining something that could otherwise come across as hopelessly complicated
A great example of a song made entirely just by editing sine waves is "Stranglehold II: Letting Go" by Jeroen Tel, I'd never really thought much could be accomplished with just sine waves until I heard that. It's a 26 channel tracker song made in 1997.
And that also uses semisines. The first Stranglehold uses strictly pure sines, it's actually a beautiful, magical song.
Here it is: ua-cam.com/video/FpOM4Fs08kU/v-deo.html
@@quadpad_music I'd happily use the term "Hauntingly beautiful" for Stranglehold, both songs are amazing pieces of art
I just waited for somebody to comment this
@Professor Frog You don't understand mate. He didn't sample, he didn't use instruments; the man took sine waves, altered them manually and through that painstaking and laborious process he ended up with those masterpieces.
This is so good, Posy. Excellent visualization!
2:52
As a musician who's studied music theory, it's fascinating to see how many pitches go in to creating a single written note. Seeing it represented really shows how notes written on a staff don't paint the whole picture of what's going on with the sounds produced.
I remember comparing a sine wave at the same HZ to my guitars low string and I was like "why is the sine wave so much deeper?!" Turns out the guitar string has a shit ton of harmonics all higher in pitch ringing out with it.
See? Tablature for guitar is valid! Someone tell my old music teacher
Electric guitars are great examples of this.
So many songs I've tried to learn by ear often use very different chords than what the ear guesses.
Tommy Iommi's opening riff in Snowblind, SRV's Tightrope, and an EVH song that is at the tip of my tongue. There're many that I can't recall. Oh, Whitesnake Still Of The Night.
And a recipe is not a meal.
Where there is art, there is a science that makes it all possible that often goes completely unnoticed
This video is like the nicest fever dream I've ever had.
Also it helped me finally conceptualize why different instruments have different voices. Obviously a piano and a violin sound different even when playing the same note but now I can actually explain WHY that is. Same frequency, different harmonics! Thanks!
6:12 sounds just like the one computer voice from the game Portal.
Overall very fascinating video. I don't know how I found your channel but it's interesting and relaxing at the same time to watch your content.
Thank you
Do you mean GLaDOS
@@obsidian_oki no, the announcer at the beginning on e you get into the ruined testing tracks
@@obsidian_oki No I mean the one voice at the beginning of Portal 2. It also reminds me of the voice of the narrator of Portal Reloaded
it sounds like it goes between GLaDOS and that narrator which says "You've been asleep for 999999999999999-"
it sounds exactly like what happens just after you defeat glados in the first Portal and her voice starts glitching out
Wonder and amazement. It's the only way to describe how I feel after watching one of your videos about everything and nothing at all.
4:17 lmao, this is how educational videos are supposed to be. Funny, informative, short.
He briefly became a 2013 youtube Gmod animation
New fear unlocked: vocals with 3 sinewaves
Microsoft Sam
I really want to recreate this 3-wave voice
it sounds like mortis
@bobbydeluxe1 same
6:34 the start of a banger
He Is Holding Mayhem And Darius Captive In His Basement.
@@AssistantCoreAQI ??????????? who??????????????
@@leppycolon3 I think he might be talking about 2 of Renard's characters
@@VaporTrap who tf is renard
@@VaporTrap
Correct! Though, Renard Is Just Another Alias/'Sona Under The "Halley Labs" Label.
i dunno if you can consider square or saw waves as sine; i guess in translation to speaker there's the physical oscillation with similar characteristics but only as you move to bigger diaphragms and lower frequencies. some birds (particularly weavers) produce variable frequency clicks repeated 5-12Hz, songs of granular and abrupt noise lacking in curvature. or so it seems.
An excellent demonstration of the Fourier series in action! Great job 👌
Almost how I imagined it to work. This video really made it click in place perfectly.
5:13 i want a full version of this! it sounds like a SpeedCore/EDM song! i love it!
so aphex’s sound
its already uploaded! its called darude sandstorm
@@MaksimNite I DIDN'T REALIZE IT WAS DARUDE! LOL
Listen vitamin by Kraftwerk. They made music soubding like that in their 80s and late 70s
@@MaksimNite No it's not
Just amazing! It's so cool to see all the different waveforms broken down like that. I had no idea that different waveforms are created by harmonics (made up of varying frequencies, amplitude and phases).
I love the part at the end! I've done that many times playing around with knobs in LMMS. Very fun to learn though!
6:20 was so impressive bro great vid u got my like
The most moment
Sounds like that wario laughing meme
Bro took sound design to a whole another level.
Looking forward to your produced beats buddy.
I've always found videos explaining how sound is made up always digged down to the very fundamental (literally!) level, but then stopped "building back up" too early -- which was not nearly enough to explain _how_ those sine waves become the extremely complex sounds we hear everyday. For the first time I've found a video that shows the **entire** process -- the part where you break down those increasingly complicated sounds into their harmonics is absolutely mind-blowing, and to top it off, you show the effect of adding more waves in your own voice _as you explain it!!_ This whole video is absolutely genius work, thank you for putting all the time into it!
the most magical channel on youtube
so i've just found my new favourite underrated channel
hope your work gets the recognition it so deserves! really happy to have come across this video in a random search for a sine wave haha
samee
Your videos are a real treat. Thank you.
7:43 he farded 💀
how did i find you
@@AnimationRandom i don't know
ua-cam.com/video/1tBpOfFxYLo/v-deo.html
OTHER MIKE HOW DID YOU GET HERE
I don't think this could have been explained any better, brilliant job, just subscribed.
my god why hasnt this blown up yet its been almost a year and a half
the quality on this video is amazing
I'm re-watching this after about a year since the first time I did, and it makes even more sense now having really started looking what I do with audio under an oscilloscope. Even what we consider a "Square wave", has a very unique un-square-wave like presentation when really analyzed that way. Its fair enough we call it that, but it still has all the wavy characteristics of a sinewave in all reality.
it is unbelievable when you receive radio signals as music and voice and hearing hundreds of harmonic layers combined as like one single sine wave contains all of these harmonics and you listen to it.
Also, radio signals themselves are an infinitely number of layers combined as one single sine wave, basically speaking (electromagnetic spectrum).
Mind-blowing. I was wondering how can speakers reproduce an infinite ammount of sine waves, when the majority just have one audio-emitting thing (idk how it’s called the thing that makes the air vibrate). So basically, in order to reproduce those infinite ammount of sine waves (thus, recreate sound), they would’ve had hundreds or even thousands of those audio-emitting things, each one reproducing a single sine wave.
Now I understand that every sine wave just combines with each other. And that’s how sound like is emitted by speakers.
How is that possible ! How is a sine wave containing all that information !?
@@lovelypeachy6493 that's correct. 'this combining' is called interference and it can be constructive and destructive -in infinite degrees/levels.
going back to speakers, called transducers because they transform one form of energy into another (electromagnetic energy into acoustic energy), they are one of the most inefficient 'electrical motors' we use. for most speakers, more than 99% of the energy is wasted w/ only 1% ending up in sound energy.
Following up the two first videos, I (a sound designer and musician) arrive here. Already a subscriber, and now I'm blown away. You are a creative genius, and I'm so happy I found your channel...
This video does a great job of explaining the concept behind Fourier series and its counterpart, Fourier Transform. Not only that, but it does so without getting lost in a sea of technicality and math jargon. This kind of math is actually used to describe a lot more than just sound waves. It can also be used to solve differential equations, process video signals, describe the behavior of electronic filter circuits, and even model how energy will disperse over time.
Listing a bunch of stuff makes it sound impressive. But as far as the Fourier series/transform is concerned those are all the same thing: signals. Yes its usefulness is hard to overstate but I think the idea of the signal itself is more revolutionary. All the Fourier stuff makes sense intuitively once you've thought hard about what signals really are.
There's just this one thing: The author/creator is confused about the model and what it models, which is unbelievably stupid - but a testament to the incredible effectiveness of Fourier analysis/synthesis, I guess.
Nowhere in e.g. a piano, a loudspeaker or vocal tract is there separately oscillating perfect sines. There's just continuos movement - different at various positions, of course.
I like the style of your content, its nice and calm.
amazingly well done! even while knowing how to do additive synthesis, this video was SUPER entertaining, good stuff!! i love it! :D
Hey man ive been listening to this for over 10 years. Sometimes i will listen bwcause its literally the most awesome piano piece ive ever heard right on bro cheers !
This video is legendary, every single person who wants to do anything in audio production/engineering should watch this and take notes. Thank you, Posy
This is one of the only channels I actively go out of my way to make sure I watch it on PC due to how good it looks and sounds, a regular phone just doesn't do it justice! Great content, keep it up!
Your videos are so thoughtful and always put a smile on my face! Have a happy 2021, Posy!
Posy is definitely my new favourite YT channel! Love every video I watched so far!
Anyone curious, look up Fourier. He was the one who figured out that any repeating wave, not only sound, could be made equivalent to a sum of sines. Sound is just where this relation is more evident, as we can actually know how a sine sounds like.
Just found your channel, your vids rock bro!
Dude your videos are so good! Just subscribed and I’m gonna tell people about this channel. I have a feeling good things are in your future
Great stuff 👏 Shared on Sonicstate today !
Your videos are incredibly entertaining and educational! A+ content
This is an awesome video and expertly communicated. This stuff should be pushed to the max by the algorythm. Well done mate.
6:42 And that's where undertale was started I quess
guess*
@@senniedreemurr I should edit my comment, I guess
Your videos are amazing, informative, interesting, well edited and your voice can be used as a tool to fall asleep, and that makes your chanel even more amazing. Keep uploading more videos sir. :)
5:45 I HAVE TO KNOW HOW THIS IS DONE.
Me too, I cant figure out what's being done in harmor here! I feel like I've stumbled upon something similar in the past, but never done it on vocals...
It's like that game called "Faith"
the tutorial link is in the description
i found it a few weeks back
@@caz8135 MOR✞IS
This is so well done. You sir, have earned a subscriber!
no sample collection is complete without at least 200 fart samples
Lol
My man always nails the presentation
It was so impressive, and answered a bunch of questions I've had about harmonics! Great stuff!!
P.S. I hope the channel is currently experiencing an explosion on UA-cam :)
This was the coolest and most entertaining video I've seen in a long time. Very well made. Great job man.
Dont think anyone ever has explained how sound works, both digitally and in analog, so intuitively. Amazing!
this video is just beautiful, i love your approach to the viewers :)
Dude this is how the Rossum Panharmonuim works!!
Resynthesis?
this might be one of the coolest videos i've ever seen
harmor is an absolutely insane synth
The best video I've ever seen about how sound works in really life
6:53 the start of fearful harmony
NO NO NO
"my disc is a little scratched, but it should work"
One of the best videos of all time!!!
7:18 Me realizing that the 4 dimensional properties of composite sine waves can be visualized in 2 dimensions with high enough resolution, after decades of self study in synthesis and audio physics, and having my effing mind blown.
I had learned this exactly thanks to the additive synthesis in Harmor! And thanks to you I had a great visual demostration!
I didn’t know FL Studio had this power
The quality of video on this channel makes it deserve not less than 10m subscribers. Man, this is a hugely underrated channel.
7:38 *Loud Audio Warning*
Posy: "A pure sine wave doesn't exist in nature."
Literally every tuning fork ever: "Am I a joke to you?"
5:58 I found the villains speech
I beg you, don't stop making videos, they are are amazing!
what is used at 6:03? It sounds so cool.
One of the best simoultaneously informative and funny vids I've seen of late
1:44 mans out here being ":D :|"
Thats why the Fairlight sampler was so amazing, with a digitizer pen you can draw your own sound back in the late 70s.
5:22 reminds me of Jerobeam Fenderson - Spirals
You watch that guy as well?
It absolutely has some relation to the way an oscilloscope draws things.
I just discovered your channel and this is honestly the best combination of interesting, hilarious and well produced content I've found in a long while.
7:02 brain aneurysm
☠️
That song you made is insane too
1:22 "This speaker is trying to reproduce an inaudible frecuency of 1hz"
He's trying his best :(
6:19 why would this be such an amazing startup for an alternative soundtrack