wqn628 Goto Github PK

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

ctc-loss-introduction

介绍ctc算法原理以及numpy简单实现

eesen

The official repository of the Eesen project

espnet

End-to-End Speech Processing Toolkit

espresso

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

funasr

A Fundamental End-to-End Speech Recognition Toolkit

gpt2-chinese

Chinese version of GPT2 training code, using BERT tokenizer.

icefall

kaldi

This is now the official location of the Kaldi project.

kaldi-native-fbank

Kaldi-compatible online fbank extractor without external dependencies

kaldi-python-io

A python IO interface for data accessing in kaldi

kaldifeat

Kaldi-compatible online & offline feature extraction with PyTorch, supporting CUDA, batch processing, chunk processing, and autograd - Provide C++ & Python API

mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

mqbench

Model Quantization Benchmark

pychain_example

speech-transformer

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

transformer-transducer

PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

wenet

Production First and Production Ready End-to-End Speech Recognition Toolkit