athena-team/athena
an open-source implementation of sequence-to-sequence based speech processing engine
Deep Learning for Speech
$ git clone https://github.com/georgygospodinov/speech_course.gitan open-source implementation of sequence-to-sequence based speech processing engine
▲ +1 ★ this week
Deep learning for audio processing
Phoneme Recognition using pre-trained models Wav2vec2, HuBERT and WavLM. Throughout this project, we compared specifically three different self-supervised models, Wav2vec (2019, 2020), HuBERT (2021) and WavLM (2022) pretrained on a corpus of English speech that we will use in various ways to perform phoneme recognition for different languages with a network trained with Connectionist Temporal Classification (CTC) algorithm.
▲ +39 ★ this week
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
▲ +6 ★ this week
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
▲ +11 ★ this week
A PyTorch-based Speech Toolkit
Data from GitHub · snapshot Nov 13, 2026