HF's ML for Audio study group

Overview

Hugging Face Machine Learning for Audio Study Group

Welcome to the ML for Audio Study Group. Through a series of presentations, paper reading and discussions, we'll explore the field of applying Machine Learning in the Audio domain. Some examples of this are:

  • Generating synthetic sound out of a given text (think of conversational assistants)
  • Transcribing audio signals to text.
  • Removing noise out of an audio.
  • Separating different sources of audio.
  • Identifying which speaker is talking.
  • And much more!

We suggest you to join the community Discord at http://hf.co/join/discord, and we're looking forward to meet at the #ml-4-audio-study-group channel 🤗 . Remember, this is a community effort so make out of this your space!

Organisation

We'll kick off with some basics and then collaboratively decide the further direction of the group.

Before each session:

  • Read/watch related resources

During each session, you can

  • Ask question in the forum
  • Present a short (~10-15mins) presentation on the topic (agree beforehand)

Before/after:

  • Keep discussing/asking questions about the topic (#ml-4-audio-study channel on discord)
  • Share interesting resources

Schedule

Date Topics Resources (To read before)
Dec 14, 2021 Kickoff + Overview of Audio related usecases (video, questions) The 3 DL Frameworks for e2e Speech Recognition that power your devices
Dec 21, 2021
  • Intro to Audio
  • Automatic Speech Recognition Deep Dive
(video, questions)
Jan 4, 2022 Text to Speech Deep Dive (video, questions)
Jan 18, 2022 pyctcdecode: A simple & fast STT prediction decoding algorithm (demo, slides, questions)

Supplementary Resources

In case you want to solidify a concept, or just want to go down further deep into the speech processing rabbit-hole.

General Resources

  • Slides from LSA352: Slides (no videos available)
  • Slides from CS224S (Latest): Slides (no videos available)
  • Speech & Language Processing Book (Chapters 25 & 26) - E-book

Research Papers

Toolkits

Demos

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Comments
  • YOUR-TTS Paper overview

    YOUR-TTS Paper overview

    Hi, I think it could be nice to have a presentation about the paper YOUR-TTS: https://arxiv.org/pdf/2112.02418.pdf as it joins a lot of elements of advanced elements in TTS (Speaker embedding, Language embedding)

    It would also be interesting to see how Monotonic Alignment Search and Affine Coupling Layers work both at training and at inference. It is just an idea that I thought could be of interest. Feel free to disregard this if you don't think it should be something for a talk, that's ok.

    That's all, thanks!

    opened by ignacio-ferreira-dev 1
  • Music Generation & Processing

    Music Generation & Processing

    Context

    AI-generated music is not new, however, the recent advancements in TTS have led to more fine-grained control over the generated sound.

    Duration

    10 minutes

    Talk flow

    1. Motivation
    2. Model Architecture
    3. Sample sounds
    4. Possible pitfalls
    5. Next steps

    Key takeaways

    The audience will get an understanding of TTS and how can one tweak the architecture to gain prosodic control over the generated speech.

    P.S. The other details above are just a suggestion and you can tweak it at your convenience, just copy this template and respond with what you would like to cover.

    If you would like to present on this topic or suggest a speaker, please leave a comment below :)

    opened by Vaibhavs10 3
Owner
Vaibhav Srivastav
Tech Speaker | Computational Linguist | Consultant
Vaibhav Srivastav
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