speechbrain/speechbrain
▲ +11 ★ this week
A PyTorch-based Speech Toolkit
A mental-model-first field guide to Audio AI — from raw waveforms to production voice systems. Covers ASR, TTS, audio classification, Transformer architectures (CTC/Seq2Seq), fine-tuning, and real-world pipelines like voice assistants and meeting transcription. Bilingual (EN/FA).
$ git clone https://github.com/Ali-hey-0/audio-ai-field-guide.git▲ +11 ★ this week
A PyTorch-based Speech Toolkit
SincNet is a neural architecture for efficiently processing raw audio samples.
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.
▲ +8 ★ this week
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
▲ +3 ★ this week
Machine Learning and Agentic AI Resources, Practice and Research
Lingvo
Data from GitHub · snapshot Nov 13, 2026