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All Projects → Vaibhavs10 → ml-with-audio

Vaibhavs10 / ml-with-audio

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HF's ML for Audio study group

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speech-synthesisspeech-recognitionhuggingface

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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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