zexupan

zexupan's Stars

• xcmyz/FastSpeech

  The Implementation of FastSpeech based on pytorch.

  Language:Python861213

• ming024/FastSpeech2

  An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

  Language:Python1.9k544

• jefflai108/Contrastive-Predictive-Coding-PyTorch

  Contrastive Predictive Coding for Automatic Speaker Verification

  Language:Python483100

• mpariente/pystoi

  Python implementation of the Short Term Objective Intelligibility measure

  Language:MATLAB32959

• clovaai/voxceleb_trainer

  In defence of metric learning for speaker recognition

  Language:Python1.1k274

• Jungjee/RawNet

  Official repository for RawNet, RawNet2, and RawNet3

  Language:Python36353

• nanahou/Awesome-Speech-Enhancement

  A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

  Language:MATLAB729151

• ludlows/PESQ

  PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)

  Language:C54499

• etzinis/sudo_rm_rf

  Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of separating sources from mixtures.

  Language:Jupyter Notebook31234

• smeetrs/deep_avsr

  A PyTorch implementation of the Deep Audio-Visual Speech Recognition paper.

  Language:Python21741

• fatchord/WaveRNN

  WaveRNN Vocoder + TTS

  Language:Python2.1k698

• JusperLee/Dual-Path-RNN-Pytorch

  Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

  Language:Python42766

• gemengtju/Tutorial_Separation

  This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

  Language:MATLAB45295

• mpc001/Lipreading_using_Temporal_Convolutional_Networks

  ICASSP'22 Training Strategies for Improved Lip-Reading; ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks

  Language:Python398102

• asteroid-team/asteroid

  The PyTorch-based audio source separation toolkit for researchers

  Language:Python2.3k424

• foorenxiang/OHR400Dashboard

  UAV Flight Analysis and ML-powered Rolling Launch Control System. Written in Python and q/kdb+. Deployed at:

  Language:Python51

• kaituoxu/Conv-TasNet

  A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

  Language:Python687156

• lingtengqiu/Facial_Expression_Similarity

  This project aims at providing a fast, modular reference implementation for A Compact Embedding for Facial Expression Similarity models using PyTorch.

  Language:Python182

• JusperLee/Speech-Separation-Paper-Tutorial

  A must-read paper for speech separation based on neural networks

  764137

• JusperLee/Looking-to-Listen-at-the-Cocktail-Party

  Executable code based on Google articles

  Language:Python16545