Eventually, after 6 useless videos on this topic, I found this one that clearly explains why, what and how autoencoders are doing! Great video! Bravo Valerio!

@ValerioVelardoTheSoundofAI

Ай бұрын

Thanks!

Valerio thanks so much for putting together such great content and providing insights into Machine Learning concepts!

This channel is gold!. It really helps to understand Ai, and its "convoluted" topics. The terminology really confuses me, but you manage to explain it in a very simple way. Watched 3 videos already ... more to go!

I am reminded of my boss asking for a 10 page report, and then asking for a 1 page summary. After some deliberation, he would again ask for expanding the summary to a 3 or 4 page report. What would happen is the important elements would get picked when we reduce and these would be elaborated when we expand again. Intuitively one catch would be the error should not be minimized to a very low value. Perhaps we would call that over fitting. The balance may be in how high is the correlation retention relative to data reduction.

Thanks for the great presentation that does not make the subject so complex and keep it as simple as possible.

Well done. Great explanations without being oversimplified

Excellent! Can't wait for next video!

27:04 yay, looking forward to watching the next video. Thanks for making this series.

Epic. Just what i was looking for

Love all your videos! Looking forward to the next video from this series :)

@ValerioVelardoTheSoundofAI

3 жыл бұрын

Thanks!

very well explained, in perfect detail. thanks a lot man

Great video Valerio, thank you so much!

Awesome!! Best explanation I have ever seen 👏👏🙌😍😍

Don't have any background in CS, but,2 mins into the video and you are so easy to understand.

cool! just gave me a research idea x) nice, clear and simple!

@ValerioVelardoTheSoundofAI

3 жыл бұрын

Glad I could help :)

Oh my!! Your video made a lot of sense!! thanks a lot and subscribed!!

I don't know why, but it was so easy to understand it once you made the 2D plane instend of two nodes there. Awesome

Great job! Thanks for sharing😊

Thank you for this video. Very easy to understand ❤

Best explanation so far

Great video! Thank you!

Extremely useful and easy to understand 🎉🎉🎉❤❤❤thank you so ooo much

Best video for autoencoders

I really enjoyed every secound, it was very helpful. Thank you :)

Good explanation. Thanks!!

Thanks so much! شكراً جزيلاً 😎

Great video! When are you going to publishing a video for anomaly detection?

Great video 👍🏼

nice video!!! thank you so much

Grazie mille! sei un grande

Thank you, so helpful

Nice job 👍🏼

Great informative video.

@ValerioVelardoTheSoundofAI

3 жыл бұрын

Thank you Nabeel!

Great explanations! One question though. In the denoising example, how different is using Autoencoders from regular deep learning? I mean, you feed in the audio with the noise and test your results against the clean audio which kind of acts as the label to the data.

awesome presentation! Subscribed

@ValerioVelardoTheSoundofAI

2 жыл бұрын

Thanks!

great work sir my question is can we use kernel pca as encoder in Autoencoders because as I know it can reduce the dimensions of nonlinear data

I will use autoencoder for speech watermarking I hope you will aborde this subject too and thank you for this awesome videos you are the best

Thanks a lot Valerio, I really like the way you explain all of these "non-obvious" stuff ! I would really appreciate if you could make a video which deal with AEs for Anomaly detection. Do you still plan to cover this item, as you mentionned in this video ? If so, by when do you think possible to have it ready ? Thanks again, and above all : keep on going !

@ValerioVelardoTheSoundofAI

3 жыл бұрын

Thank you Gildas! I intend to cover AEs for Anomaly Detection in a self-contained video / project. Not sure when it'll come out, but it's in the pipeline ;)

@manuelmuller-wb3le

7 ай бұрын

@@ValerioVelardoTheSoundofAIThanks a lot Valerio! I am new to the field of audio signal processing and especially to AI approaches. Your channel helped me a lot. It was perfect to get an understanding of the whole topic. I am currently writing my master thesis in the field of anomaly detection of engine noise. I wanted to use an autoencoder as an example for the detection. I would therefore also be interested to know whether you are planning a video on this or whether it is already available on your channel. Thank you for the work and time you put into your channel! Keep up the good work! :)

Great video! I am keen to see the implementation of this. What are your thoughts on using GANs to generate spectrograms?

@ValerioVelardoTheSoundofAI

3 жыл бұрын

GANs are also effective at spectrogram generation. I'll definitely cover them at some point in the future.

@shivambatra70

3 жыл бұрын

@@ValerioVelardoTheSoundofAI Please conver them. I am waiting for that for over a month now and there is no other channel which cover audio processing as you 😃

Cool video!! I'm doing a research of speech to speech (voice convertion)

@ValerioVelardoTheSoundofAI

3 жыл бұрын

That sounds interesting!

please make a video on semi-supervised learning along with practical implementation.

working on a project that does this in some way right now :) the first thing I thought was, why use random noise when a latent vector would work so much better.

Thank you so much

thank you so much

Auto-encoding and de-noising seem to be equivalent to the processes we use for selectively listening to one speaker when in an environment where multiple members are speaking simultaneously.

@MARTIN-101

2 жыл бұрын

can we do both of the applications at the same time ?

@MARTIN-101

2 жыл бұрын

can you explain how background noise will be removed.

ty :)

Very Nice session. Would be grateful if you explain attention mechanism implication.

@ValerioVelardoTheSoundofAI

3 жыл бұрын

Thank you! I'll definitely cover attention / transformers in another series.

which loss metric would you use for the deep convolutional auto encoder? cross entropy or RMSE still?

@ValerioVelardoTheSoundofAI

3 жыл бұрын

RMSE / MSE are a good starting point here.

Thanks, can you cite your sources? (great explanation. thanks be)

At the denoising part, do we always need to have same kind of noise in sound, for AE to denoise it ? For example, can samples with white noise and random noise denoised together ?

@ValerioVelardoTheSoundofAI

Жыл бұрын

If you have enough samples for different types of noises, you should be good to go.

good

can we implement VQ to audio classification with python?

Does anyone know how to find what are the important features that are stored in the latent space?

@MARTIN-101

2 жыл бұрын

did u found a answer ?

can I make this project if I'm working on macbook m1 without a gpu?

It's so cool how one idea like autoencoders can be used in audio, anomaly detection and I think even nlp as well! JVUVICFJ

can someone please explain how can i use auto encoders to filter out the background noise and reatain speaker voice ?

I can't find video about anomaly detection with AEs(

You still didn't explain exactly how the autoencoder works!

Valerio, can you give me an email? has some important to say/

@ValerioVelardoTheSoundofAI

Жыл бұрын

valerio@thesoundofai.com