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:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
AdaSpeech: Adaptive Text to Speech for Custom Voice
AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data
AdaSpeech2 based on https://github.com/rishikksh20/AdaSpeech2
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf
Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)
Speaker embedding(verification and recognition) using Pytorch
基于dVector的说话人识别keras
kaldi-asr/kaldi is the official location of the Kaldi project.
网易云音乐曲风分类机器人
Python interface to the WebRTC Voice Activity Detector
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
A Python wrapper for Kaldi
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
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A lightweight library to compute Diarization Error Rate (DER).
speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition
It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data corpus.
Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
Tensorflow and kaldi implementation of our paper "VAE-based regularization for deep speaker embedding"
a simple vae and cvae from keras
Variational Bayes HMM over x-vectors diarization on DIHARD II
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.