Speaker Intelligence Platform for developers. pyannote has 48 repositories available. Follow their code on GitHub.

Speaker diarization is the process of automatically partitioning the audio recording of a conversation into segments and labeling them by speaker, answering the question "who spoke when?".

Our AI speaker diarization models accurately identify and separate speakers in audio recordings, providing valuable insights and improving productivity. Our optimized AI models accurately separates …

pyannote.audio is an open-source toolkit written in Python for speaker diarization. Based on PyTorch machine learning framework, it comes with state-of-the-art pretrained models and pipelines, that can …

Dec 6, 2025 · all the open source things related to the Hugging Face Hub.

This report describes the main principles behind version 2.1 of pyannote.audio speaker diarization pipeline. It also provides recipes explaining how to adapt the pipeline to your own set of annotated data.

Whether your audio is multi-speaker, noisy, or affected by external elements, pyannoteAI delivers precision and reliability where it matters most. Use state-of-the-art speaker diarization and …