Understanding Audio Signals for Machine Learning

Learn about audio digital signals. I explain the difference between analog and digital signals, and how to convert an analog sound into a digital format that can then be processed for machine learning. I also delve deeper into Audio to Digital Conversion concepts such as sampling, quantization, and aliasing.

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[didismit]

I honoustly never take the time to comment or compliment on youtube videos. You, my man, are simply amazing and I truly enjoy listening to you. Going all the way till your last video =)

[hydraulicgames]

I was just curious about sound processing and found your lecture series. After I started watching, I binge watched the whole series! Absolute piece of art! PS-I started watching with an absolute zero knowledge about the subject.

[theaihacker]

bro your content is so helpful. very concise and straight to the point.

[jancooqhedon]

i came here for a language classification research, but now im amazed with the music thing

[adityajindal]

Loves the understanding, clarity in content & excellent examples through applications! love it

[mudassirkhan]

Hey Valerio,
This is just amazing content, i like the depth, the way you explain in so simple terms, you satisfied my curiosity for this whole topic.

[hersheyscoco]

Great stuff Valerio, this is amazing content - very educational. When you cover the audio features, can you also cover in depth MFCC's, and how they are typically used? I have yet to seen a good treatment of MFCCs and get an intuitive feel for how they work.

[joeljoseph]

you are awesome! the best ML tutorial for audio signals

[chriskingston]

Thank you so much for creating these video, I am really enjoying them! Always worked with computers, music and sound when I was young, and still am. Have all the basic knowledge of prorgamming, ml and music. But this is so much more depth, didnt knew I like this stuff. Thank you for creating a new passion for me. Ai with music❤️❤️❤️

[avidreader]

At 15:45, the picture that appears seems to have an error. The numbers of amplitude scale are out of order in binary notation.

[ramportland]

@9:13 of the video, is it above or below the nyquist frequency?

[fredrickpwol]

Thanks a lot for this, It's helping through a project I'm working on. I'm really grateful

[rangiding]

Thanks for your wonderful job, beautifully done!

[Drew_]

Thank you for this amazing walkthrough; this is going to help me SO much with ML. Also, question for this section 17:37, do you know why we have to divide the bit depth and resolution sampling rate by 1048 window? In other words, why do we divide by 1, 048, 576 and then again by 8 bytes? Is there some resource on why this is default? (I'm assuming this has to do with the way computers work.)

[mattdistad]

When you resample in Audacity, you are not hearing aliasing. Audacity used a LP filter (as any good downsampler should) to avoid aliasing. What you're hearing in the high frequencies being filtered out

[heecheolcho]

Thank you for good works. I hava a question. (16x44100x60) / (8x1024x1024) = 5.046844
Why 5.49MB?

[phosphoricx]

I’m not sure your aliasing demo actually has aliasing. Usually you would hear nasty artifacts when downsampling so much without an antialiasing filter. Audacity is likely applying an antialiasing filter to reduce the bandwidth of the signal before downsampling it.

[AhmetAksoy]

Thank you very much. It is a very educational video. ( But in the audio there are some short bass bursts. )

[JogosEtudoMais]

Valerio, thank you for this amazing work. You are helping me a lot, I am studying audio and you are answering all my questions. Do you have any book recommendation for me?

[mohamadqodosi]

I got a liitle confused, Does aliasing mean we can hear frequencys higher than our hearing rang after digitalization of signal?