#Speaker-diarization
Showing 23 of 23 repositories tagged #speaker-diarization, ranked by stars
Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
A PyTorch-based Speech Toolkit
End-to-End Speech Processing Toolkit
On-device Speech AI for Apple Silicon
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
A python package to build AI-powered real-time audio applications
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
turnkey self-hosted offline transcription and diarization service with llm summary
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
Open source inference code for Rev's model
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
A novel media player that allows you to navigate by speaker
Discriminative Neural Clustering for Speaker Diarisation
On-device meeting transcriber for macOS — auto-records Teams/Zoom/Webex, transcribes & separates speakers locally. No cloud. Open-source alternative to Otter/Granola/Fireflies.
Docker image for a self-hosted Whisper speech-to-text server with speaker diarization and OpenAI-compatible transcription and translation APIs. Powered by faster-whisper. Supports all Whisper models, NVIDIA GPU (CUDA) acceleration, JSON/SRT/VTT output, SSE streaming, offline mode, and multi-arch (amd64, arm64).
speaker diarization system using an LSTM
Application for viewing Rich Transcription Time Marked (RTTM) files in an interactive way
Neural network based similarity scoring for diarization (pytorch implementation of "LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization")
🐌 A curated roadmap based on my 6 years of experience form zero to become a skilled AI Speech Engineer. This roadmap covers everything from fundamentals to cutting-edge research trends in the speech domain.