turnkey self-hosted offline transcription and diarization service with llm summary
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Updated
Sep 25, 2024 - Python
turnkey self-hosted offline transcription and diarization service with llm summary
Tool for automatic transcription and speaker diarization based on whisper and pyannote.
On-device speaker diarization powered by deep learning
Diarization A to Z - Kaldi to Gecko to Kaldi and corpus and back
Scripts for data generation, scoring and data manifest preparation for CHiME-8 DASR task.
Synchronized Translation for Videos. Video dubbing
Cog implementation of transcribing + diarization pipeline with Whisper & Pyannote
This repository contains a Jupyter notebook for qualitative researchers to transcribe, diarize speakers, and convert audio or video files into various text formats (csv, txt, json, & vtt).
pyannote audio diarization in rust
Incredibly fast Whisper-large-v3 with speaker diarization
Backend for MedVoice Project
Whole Audio Analysis Research with Python
Comprehensive qualitative data analysis software for UX research. User interview tagging, AI-supported analysis, team management, etc.
Facilitates purely text-based diarization labeling of transcripts or other written conversational data using LLMs
This repository creates speaker diarization recipes to be used within the egs folder of kaldi.
Audio speaker diarization and detection to automatically segment spoken audio.
Rust bindings to https://github.com/k2-fsa/sherpa-onnx
Proof of concept implementing multi-speaker recording transcription summarization
This versatile tool is designed for anyone in need of a robust solution for transcribing and diarizing large volumes of audio files. Whether you are dealing with terabytes or even larger quantities, our tool ensures efficient and accurate processing. Ideal for researchers, content creators, and businesses.
Use OpenAI's Whisper to transcribe audio files and diariaze speakers of the transcribed text
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