Tool for automatic transcription and speaker diarization based on whisper and pyannote.
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Updated
May 21, 2024 - Python
Tool for automatic transcription and speaker diarization based on whisper and pyannote.
Project for transcription and diarization of a podcast using ML, with a graphical interface for text correction.
Synchronized Translation for Videos. Video dubbing
Qualitative data analysis software for UX research. User interview tagging, AI-supported analysis, data presentation, etc.
Backend for MedVoice Project
Scripts for data generation, scoring and data manifest preparation for CHiME-8 DASR task.
turnkey self-hosted offline transcription and diarization service with llm summary
Simplified diarization pipeline using some pretrained models - audio file to diarized segments in a few lines of code
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.
Free open-source transcriber and summarizer for file-per-speaker recordings, such as Discord calls recorded by the Craig bot
UniSpeech - Large Scale Self-Supervised Learning for Speech
Speech transcription and speech diarization
This Project transcribes spoken content into text and identifies distinct speakers, organizing the transcript accordingly for easier review and analysis.
pyannote.audio benchmark for NVIDIA GPUs
A versatile tool accessible to anyone seeking a streamlined solution for transcribing and diarizing their audio files.
Identifies the diferent sepakers in a recording and labels them on a SRT file.
The solution is a POC uitlity of TTS for translating a movie into English using provided subtitles and voice analytics, cloning and TTS.
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.
A Whisper to TextGrid script that I use to automatize Corpus Annotation on Praat, with speaker diarization.
LocalAutomatedTranscriptionAndContentAnalysis: On device Automatic Speech Recognition & Diarization using fine tuned Whisper small.en as well as Semantic Content Analysis using BART large
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