Automated Multi Speaker diarization API for meetings, calls, interviews, press-conference etc.
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Updated
Jan 30, 2019
Automated Multi Speaker diarization API for meetings, calls, interviews, press-conference etc.
This repository consists of unsupervised segmentation of audio files consist of music and speech.
Fork of the repository by taylorlu, modified for usability and without changing the pretrained models
Neural network based similarity scoring for diarization (pytorch implementation of "LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization")
Resources for easily building ASR systems with Kaldi
Diarization A to Z - Kaldi to Gecko to Kaldi and corpus and back
Large publicly available speech datasets
This repository creates speaker diarization recipes to be used within the egs folder of kaldi.
Kit de desenvolvimento de aplicações em Python para o CPQD Transcrição de Diálogos
Atenea is a Rich-Transcription Toolkit focused on automatic subtitling.
无监督说话人聚类算法比较
Speech toolkit for audio analysis, diarization and transcription
Research on speech processing, speaker identification and audio diarization
Convert kaldi feature extraction and nnet3 models into Tensorflow Lite models. Currently aimed at converting kaldi's x-vector models and diarization pipelines to tensorflow models.
Easy to use Multi-Provider ASR/Speech To Text and NLP engine
Speech Detection and Diarization
Ara (think parrot 🦜 ) is a script / api to transcribe and diarise audio. It uses Whisper and Pyannote
Identify the emotion of multiple speakers in an Audio Segment
Transcribe real-world speech with an API call. Based on Whisper(ASR by OpenAI) - https://openai.com/blog/whisper/
This streamlit web-app has been developed in order to obtain starting from a recorded audio-track the correspondent dialogue.
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