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aishell_las_asr

asr_chinese_e2e

A end to end ASR system

asr_syllable

基于卷积神经网络的语音识别声学模型的研究

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

attention

A list of references for end-to-end ASR

attention-based-neural-machine-translation

利用RNN实现基于注意力的神经机器翻译

attention-is-all-you-need-keras

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

auditory-eeg-challenge-2023-code

contrastive-predictive-coding

Keras implementation of Representation Learning with Contrastive Predictive Coding

cpc_audio

An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

data2vecnoisy

deep-spatio-temporal

Code for Deep Spatio Temporal Wind Power Forecasting

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

deepspeechrecognition

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

dns-challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

dpsl-asr

Code for paper "Dual-Path Style Learning for End-to-End Noise-Robust Speech Recognition"

eeg2vec

eeg_challenge_code

end-to-end-asr-pytorch

This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.

end2end-asr-pytorch

End-to-End Automatic Speech Recognition on PyTorch

end2endasr

implement end-to-end asr algorithm with tensorflow

espnet

End-to-End Speech Processing Toolkit

espnet-semi-supervised

ESPnet extensions for semi-supervised end-to-end speech recognition

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

kaldi

This is the official location of the Kaldi project.

kenlm

KenLM: Faster and Smaller Language Model Queries

kerasdeepspeech

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

lihang-code

《统计学习方法》的代码实现

listen-attend-and-spell

Tensorflow implementation of "Listen, Attend and Spell" authored by William Chan. This project utilizes input pipeline and estimator API of Tensorflow, which makes the training and evaluation truly end-to-end.