Fork of the repository by taylorlu, modified for usability and without changing the pretrained models
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Updated
Jul 29, 2020 - Python
Fork of the repository by taylorlu, modified for usability and without changing the pretrained models
Diarization A to Z - Kaldi to Gecko to Kaldi and corpus and back
Use OpenAI's Whisper to transcribe audio files and diariaze speakers of the transcribed text
Whole Audio Analysis with Python
pyannote.audio benchmark for NVIDIA GPUs
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.
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.
A versatile tool accessible to anyone seeking a streamlined solution for transcribing and diarizing their audio files.
Speech toolkit for audio analysis, diarization and transcription
Ara (think parrot 🦜 ) is a script / api to transcribe and diarise audio. It uses Whisper and Pyannote
Speech transcription and speech diarization
Project for transcription and diarization of a podcast using ML, with a graphical interface for text correction.
A versatile tool accessible to anyone seeking a streamlined solution for transcribing and diarizing their audio files.
The app for analyzing Call Quality Rate (CQR) of call transcripts based on audio recordings.
This Project transcribes spoken content into text and identifies distinct speakers, organizing the transcript accordingly for easier review and analysis.
LocalAutomatedTranscriptionAndContentAnalysis: On device Automatic Speech Recognition & Diarization using fine tuned Whisper small.en as well as Semantic Content Analysis using BART large
This streamlit web-app has been developed in order to obtain starting from a recorded audio-track the correspondent dialogue.
Identifies the diferent sepakers in a recording and labels them on a SRT file.
Kit de desenvolvimento de aplicações em Python para o CPQD Transcrição de Diálogos
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