← all releases
pyannoteAI·Aug 1, 2017·v4.0.1.dev0+g304c107ca.d20250909·open source
pyannote.metrics
pyannote.metrics is an open-source Python library designed for researchers in the field of speaker diarization. It offers a command-line interface (CLI) and an application programming interface (API) to facilitate reproducible evaluation, diagnostics, and error analysis of speaker diarization systems.
LLMLLMs
overview
pyannote.metrics is an open-source Python library designed for researchers in the field of speaker diarization. It offers a command-line interface (CLI) and an application programming interface (API) to facilitate reproducible evaluation, diagnostics, and error analysis of speaker diarization systems.
key features
- 01Command-line interface for reproducible evaluation
- 02API access to a wide range of evaluation metrics
- 03Visualization capabilities for detailed error analysis
related productsbrowse all →
Protenixopen sourceProtenix is an open-source, trainable PyTorch implementation of AlphaFold 3, designed for high-accuracy biomolecular structure prediction. It aims to advance accessible and extensible research tools for the computational biology community. ([github.com](https://github.com/bytedance/Protenix?utm_source=openai))Step-Audio-R1open sourceStep-Audio-R1 is an advanced audio language model developed by StepFun AI, designed to enhance audio reasoning capabilities by grounding its reasoning in acoustic features. It introduces Modality-Grounded Reasoning Distillation (MGRD), an iterative training framework that shifts the model's reasoning from textual abstractions to acoustic properties, effectively addressing the 'inverted scaling' problem where performance degrades with longer reasoning. This model has demonstrated superior performance across various audio understanding and reasoning benchmarks, surpassing models like Gemini 2.5 Pro and achieving results comparable to Gemini 3 Pro.Z-Imageopen sourceZ-Image is an efficient image generation foundation model developed by Tongyi-MAI, designed to produce high-quality, diverse, and stylistically versatile images. It serves as a robust base for creators, researchers, and developers seeking advanced image generation capabilities.