Vaibhavs10/ml-with-audio
HF's ML for Audio study group
Covers end-to-end audio ML topics including automatic speech recognition, text-to-speech synthesis, source separation, and speaker identification through structured weekly sessions with video presentations and paper discussions. Structured around curated learning paths using foundational resources like Speech & Language Processing alongside hands-on notebooks, with integration to toolkits like SpeechBrain and ESPnet for implementation. Community-driven format encourages collaborative exploration via Discord, with supplementary research papers and interactive Hugging Face Spaces demos for experimentation.
202 stars. No commits in the last 6 months.
Stars
202
Forks
29
Language
Jupyter Notebook
License
—
Category
Last pushed
Feb 27, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/Vaibhavs10/ml-with-audio"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Picovoice/rhino
On-device Speech-to-Intent engine powered by deep learning
yandexdataschool/speech_course
YSDA course in Speech Processing.
MycroftAI/adapt
Adapt Intent Parser
IBM/BigLittleNet
Official repository for Big-Little Net
espnet/interspeech2019-tutorial
INTERSPEECH 2019 Tutorial Materials