shiwanglei Goto Github PK

3d-convolutional-speaker-recognition

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

adaspeech

AdaSpeech: Adaptive Text to Speech for Custom Voice

adaspeech2

AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

adaspeech2-1

AdaSpeech2 based on https://github.com/rishikksh20/AdaSpeech2

athena-signal

awesome-diarization

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

coqui-tts

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

deep-speaker

Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf

deep_speaker-speaker_recognition_system

Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)

deepspeaker-pytorch

Speaker embedding(verification and recognition) using Pytorch

denoising_dihard18

dvectorspeakerrecognition

基于dVector的说话人识别keras

iosl_clustering

kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

nlp-svm

网易云音乐曲风分类机器人

py-webrtcvad

Python interface to the WebRTC Voice Activity Detector

pyannote-audio

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding

pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pykaldi

A Python wrapper for Kaldi

pytorch_speaker_verification

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

quickgitclone

这是一个帮助快速克隆git仓库+生成、下载网站二维码+选中右击跳转百度的Chrome插件

simpleder

A lightweight library to compute Diarization Error Rate (DER).

speaker-diarization

speaker diarization by uis-rnn and speaker embedding by vgg-speaker-recognition

speaker-identification-using-gmms

It uses GMM to train a speaker identification model. The training and testing has been done on subset (34 speakers) from VoxForge data corpus.

speakerdiarization_rnn_cnn_lstm

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).

spectralcluster

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

v-vector-tf

Tensorflow and kaldi implementation of our paper "VAE-based regularization for deep speaker embedding"

vae

a simple vae and cvae from keras

vbx

Variational Bayes HMM over x-vectors diarization on DIHARD II