Voice Swap using NVIDIA's NeMo on Python | GPU 3080 TI giveaway announcement | GTC'22

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📚📚About
In this tutorial, we will build a voice swap python app on Google Colab, called VoiceSwap with the help of the powerful conversational AI toolkit, NeMo and conversational AI pre-trained AI models, such as QuartzNet for automatic speech recognition, FastPitch for spectrogram generation, and HifiGAN for our Vocoder model. The app reads generic voice audio samples and converts (or swaps) them to a computer generated one.

⏲⏲Outline
00:00 Intro
00:29 GPU Giveaway Announcement
00:38 Steps to take part in Giveaway
04:02 What is NeMo ?
05:47 Checking the GPU
06:08 Installing NeMo
07:13 Downloading an audio sample
07:56 Instantiating pre-trained AI models
10:17 Convert Audio to Text
11:59 Text to Audio
13:03 Voice swap
14:07 Outro

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In my 4 years of trying to learn machine learning and deep learning, not a single teacher adequately explained what AI can actually do and here I learned a very useful app in less than 20 minutes. This guy is a muslim version of Jesus !

Ucharclips
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Aristotle once said, “Knowing self is the beginning of all wisdom.” . My fear of python and deep learning has been replaced by understanding. Thanks Ahmad.

prismatic
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These tutorials are absolutely amazing, thank you!

dtjnbvnnndfnfcgbn
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2022 and this is one of the best videos I have ever seen someone teaching Python. I wish there were videos of GANs and encoders but thanks a lot 😍

crazytwins
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I don't know you but before recording this video, it is crystal clear that you asked yourself how can I be explaining better the concept of conversational AI to novice learners and you just nailed it. It is not very easy when you go through documentation given by NVIDIA but you make it very simple and give the pleasure and wanting to learn more and more. You connect via the soul with your fans and give us a better world to live in. Thanks so much ! 👏🏻

asyaasya
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I so enjoyed this guys tutorial. His passion and points are so helpful. This is definitely one of the most well rounded views I've seen of AI and what we need to do moving forward with it. Prefect!

musicforrelax
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Thanks bro! I have been working with Python for 6 years now and not gonna lie I wouldn't really make it without your good quality videos!

macgregor
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I’ve watched a few videos trying to get my head around conversational AI, and you make it so simple. Thanks so much for your clear explanation !!

naimatube
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Love it! I'm a vibration analyst, we listen to machines. Thank you for putting this together…

GastrologChef
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I spent 2 hours reading this out of a book and still had no idea. You explained it in 15 minutes and I already get it. Thanks for the great video!

sadeceexpert
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Great tutorial man! I feel like deep learning and conversational AI on Python seem so much easier to understand compared to using commercial toolboxes, such as MATLAB. Your explanation helps a lot too!

souravkumar
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Very informative, my professor wasn't able to be this straight and clear about it.Thanks!

Felaketkulesiriyal
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What a beautiful way to explain a concept. Starts with something so simple and gradually builds up to the more complex part, also delivers the lecture in a way that even a tiny bit of boredom can't creep in.

hob
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Amazing warning, perspective... All of it. Definitely sharing!

ardayldz
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Awesome, you’re covering the topics that I need for my actual project. Thank you and keep it up.

AashwinMittal
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Excellent video! All the content was so comprehensively explained and easy to follow! I learnt so much in about 15 minutes :)

zuleyhaersoy
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I've never understood exactly what conversational AI is. Thanks for the explanation, all is much clearer now.

arreyelijah
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Before this i did not understand the concept of how to use NeMo, but with the help of this simple example, now its very clear.

eliftutmaz
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Thank you for this clear and concise explanation of subject matter that had eluded me till now. Well done & cheers.

ashwinsuresh
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This is the most clear and underrated explanation and demonstration on YouTube, I paid 500$ to enroll to a deep learning course but with this example, I think I am ready to create my own.

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