ML for Audio Study Group - Intro to Audio and ASR Deep Dive

This week will do a deep dive into the basics: we’ll give a high level overview of audio data and its challenges. Then, we’ll jump into the details of our first task: Automatic Speech Recognition. Beware, there will be memes. Ask your questions at https://discuss.huggingface.co/t/ml-for-audio-study-group-intro-to-audio-and-asr-dec-21/12890 - Join the discussion at Discord (http://hf.co/join/discord #ml-4-audio-study-group channel). - Check out the GitHub repository of the project: https://github.com/Vaibhavs10/ml-with-audio Vaibhav (VB) is a consultant turned student researcher at University of Stuttgart, Germany. His current research is in the field of Performance Prediction for NLP models and Speech Synthesis. He is also an active volunteer with Europython and Python DE. Omar is a ML Engineer at Hugging Face, where he integrated libraries to the HF Hub, builds Open Source collaborations, and more! Before that, Omar was a Software Engineer at Google Assistant and co-founder of AI Learners, a community focused in ML in Spanish. 00:00 Intro 02:05 Intro to Audio Data 17:29 Automatic Speech Recognition 41:27 SpeechBrain + HF Speech Recognition tasks 50:32 Organization and tips 53:15 Questions