A toolkit for speaker diarization.

Repo for AI Republic's AI Engineering Course - Winter 2024

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

A toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Python package for combining diarization system outputs.

A PyTorch-based Speech Toolkit

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)

wav2vec2 audio classification for prosodic boundary detection and other tasks

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

Speaker verification using ResnetSE (EER=0.0093) and ECAPA-TDNN

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

End-to-End Neural Diarization

kaldi-asr/kaldi is the official location of the Kaldi project.

Self-Supervised Speech Pre-training and Representation Learning Toolkit

State-of-the-art 2D and 3D Face Analysis Project