On-device Speech AI for Apple Silicon

Instantly generate AI-powered subtitles on your device. Works standalone or connects to DaVinci Resolve.

Cutting edge AI technology for automated audio transcription. A nice GUI for OpenAIs Whisper and pyannote (speaker identification)

Open source inference code for Rev's model

Very fast, accurate speaker diarization

Official repository for the "Powerset multi-class cross entropy loss for neural speaker diarization" paper published in Interspeech 2023.

Provide Gradio custom components to make the diarization-based audio labeling process easier and faster.

EchoInStone is an audio processing tool that transcribes, diarizes, and aligns speaker segments from audio files, prioritizing accuracy and reliability.

Official repository for Mamba-based Segmentation Model for Speaker Diarization

Speaker identification powered by pyannote and resemblyzer

Transcription from mp3 files to html with or without embedded player

Ultra-fast, customizable speech-to-text and speaker diarization for noisy, multi-speaker audio. Includes advanced noise reduction, stereo channel support, and flexible audio preprocessing—ideal for call centers, meetings, and podcasts.

Real-time speaker diarization using straightforward, intuitive logic - High accuracy thanks to SpeechBrain/Pyannote-WeSpeaker models

Multi-source transcript merging inspired by textual criticism — LLM adjudicates multiple Whisper, YouTube captions & external transcripts for higher quality. Includes speaker diarization and summarization.

PyAnnote Voice Activity Detection (ONNX version)

Automatically setup the AISHELL-4 and MSDWild dataset for usage with pyannote-database (and pyannote-audio)

GPU-accelerated WhisperX on NVIDIA Blackwell (SM_121) - DGX Spark compatible

speech to text gui for different (mostly Whisper, also Voxtral) models and backends, including whisper.cpp, mlx-whisper, faster-whisper, ctranslate2; applies pyannote for diarization

A package that can be locally executed to generate minutes in Japanese