Cog implementation of transcribing + diarization pipeline with Whisper & Pyannote
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Updated
Sep 12, 2024 - Python
Cog implementation of transcribing + diarization pipeline with Whisper & Pyannote
无监督说话人聚类算法比较
Proof of concept implementing multi-speaker recording transcription summarization
Speech Detection and Diarization
TemporalLabsLLC YouTube Transcriber is a useful tool designed to convert lists of YouTube videos into text data that can be further distilled for a generative AI pipeline.
An English-Spanish code switching dataset adapted from the Miami-Corpus
Audio speaker diarization and detection to automatically segment spoken audio.
Use OpenAI's Whisper to transcribe audio files and diariaze speakers of the transcribed text
Whole Audio Analysis Research with Python
Fork of the repository by taylorlu, modified for usability and without changing the pretrained models
A playground to use whisper python package for transcription. A dev container is used to set up all that is needed included whisper, pyannote, ffmpeg and pydub.
Research on speech processing, speaker identification and audio diarization
pyannote.audio benchmark for NVIDIA GPUs
Backend for MedVoice Project
On- and off I am experimenting with OpenAI whisper and related technologies. Here I attempt to create a tool that transcribes meeting recordings for me.
This repository serves as a temporary portfolio showcasing SQL projects and Python Scripts related to Data Engineering, highlighting key accomplishments and implementations.
Speaker Diarization using Python, Flask and Html
Ara (think parrot 🦜 ) is a script / api to transcribe and diarise audio. It uses Whisper and Pyannote
Resources for easily building ASR systems with Kaldi
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