A PyTorch-based Speech Toolkit
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Updated
Aug 23, 2024 - Python
A PyTorch-based Speech Toolkit
End-to-End Speech Processing Toolkit
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
A Repository for Single- and Multi-modal Speaker Verification, Speaker Recognition and Speaker Diarization
A python package to build AI-powered real-time audio applications
turnkey self-hosted offline transcription and diarization service with llm summary
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition
Aims to create a comprehensive voice toolkit for training, testing, and deploying speaker verification systems.
End-to-End Neural Diarization
This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.
Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196
An Android ChatBot powered by Watson Services - Assistant, Speech-to-Text and Text-to-Speech on IBM Cloud.
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