speaker diarization
A PyTorch-based speaker diarization toolkit providing models and pretrained pipelines for VAD, speaker change detection, overlap detection, and speaker embeddings.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
choose when you want a dedicated speaker diarization/verification toolkit with Apache-2.0 license and simpler model access than pyannote's HF gating.
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
choose when you need real-time streaming diarization with low latency, not batch processing.
A python package to build AI-powered real-time audio applications
choose when you need a general speech toolkit with trainable diarization recipes and many other speech tasks.
A PyTorch-based Speech Toolkit
choose when you need ASR and diarization integrated in one production-ready toolkit.
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
choose when you want research-focused multi-modal speaker models and training recipes.
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
choose when you need a simple legacy diarization pipeline using UIS-RNN and VGG embeddings, unmaintained.
speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition
These projects were analysed and named pyannote-audio among their alternatives. The relationship is not symmetric — how pyannote-audio rates them is a separate judgement, made when pyannote-audio is analysed in its own right.
calls pyannote-audio “Choose when you need a dedicated, modular speaker diarization library with strong pretrained pipelines.”
A PyTorch-based Speech Toolkit