Pinned Repositories
AEC-Challenge
AEC Challenge
Attention-SE.pytorch
AN ATTENTION-BASED NEURAL NETWORK APPROACH FOR SINGLE CHANNEL SPEECH ENHANCEMENT
audio_visual_speech_enhancement
Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments
auditory-slow-fast
Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch
Autoregressive-Predictive-Coding
Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning
awesome-end2end-speech-recognition
A list of End-to-End speech recognition, including papers, codes and other materials
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.
awesome-speech-recognition-speech-synthesis-papers
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
Batch_Instance_Normalization-Tensorflow
Simple Tensorflow implementation of Batch-Instance Normalization (NIPS 2018)
nlp_paper_study
研读顶会论文，复现论文相关代码
5iding's Repositories
5iding/nlp_paper_study
研读顶会论文，复现论文相关代码
5iding/AEC-Challenge
AEC Challenge
5iding/audio_visual_speech_enhancement
Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments
5iding/auditory-slow-fast
Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch
5iding/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.
5iding/awesome-speech-recognition-speech-synthesis-papers
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
5iding/CPC_audio
An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.
5iding/Data-Science-Notes
数据科学的笔记以及资料搜集
5iding/deep_avsr
A PyTorch implementation of the Deep Audio-Visual Speech Recognition paper.
5iding/deepspeech.pytorch
Speech Recognition using DeepSpeech2.
5iding/DNS-Challenge
This repo contains the scripts, models, and required files for the ICASSP 2021 Deep Noise Suppression (DNS) Challenge.
5iding/EHNet
This in an implementation of EHNet in PyTorch and PyTorch Lightning. EHNet is a convolutional-recurrent neural network for single channel speech enhancement.
5iding/end2end-asr-pytorch
End-to-End Automatic Speech Recognition on PyTorch
5iding/espnet
End-to-End Speech Processing Toolkit
5iding/i-revnet-based-time-frequency-transform
5iding/KoSpeech
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.
5iding/LAS_Mandarin_PyTorch
Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)
5iding/leaf-audio
5iding/libri-light
dataset for lightly supervised training using the librivox audio book recordings. https://librivox.org/.
5iding/magenta
Magenta: Music and Art Generation with Machine Intelligence
5iding/pase
Problem Agnostic Speech Encoder
5iding/PhoneFortifiedPerceptualLoss
Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement
5iding/pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
5iding/Self-Supervised-Speech-Pretraining-and-Representation-Learning
Official implementation of the S3PRL toolkit: self-supervised pre-training of Mockingjay, TERA, AALBERT, APC, and more to come. With easy-to-use standard downstream evaluation scripts including phone classification, speaker recognition, and ASR. (All in Pytorch)
5iding/singing_transcription_ICASSP2021
The source code and pre-trained model of the paper "On the Preparation and Validation of a Large-scale Dataset"
5iding/suggested-notation-for-machine-learning
This introduces a suggestion of mathematical notation protocol for machine learning.
5iding/Tensor-Train-Neural-Network
Jun and Huck's Tensor-Train Network Toolbox
5iding/wav2letter.pytorch
A fully convolution-network for speech-to-text, built on pytorch.
5iding/WavAugment
A library for speech data augmentation in time-domain
5iding/Wave-U-Net-for-Speech-Enhancement-1
Implement [Wave-U-Net](https://arxiv.org/abs/1806.03185) by PyTorch, and migrate it to the speech enhancement area.