end2end-asr-pytorch

https://github.com/gentaiscool/end2end-asr-pytorch

End-to-End Automatic Speech Recognition on PyTorch.
End-to-End Speech Recognition on Pytorch.
Transformer-based Speech Recognition Model.

end-to-end：adj. 端到端的，端点对端点的 n. 不断地
automatic speech recognition，ASR：自动语音识别
text to speech，TTS：从文本到语音
speech to text，STT：从语音到文本

PyTorch
https://pytorch.org/

torchaudio: an audio library for PyTorch
https://github.com/pytorch/audio

1. `pytorch==1.4.0` `torchaudio==0.4.0` `torchvision==0.50`

1.1 get started

(base) yongqiang@yongqiang:~$ conda create -n pt-1.4_py-3.6 python=3.6
......
# To activate this environment, use
#
#     $ conda activate pt-1.4_py-3.6
#
# To deactivate an active environment, use
#
#     $ conda deactivate
(base) yongqiang@yongqiang:~$
(base) yongqiang@yongqiang:~$ conda activate pt-1.4_py-3.6
(pt-1.4_py-3.6) yongqiang@yongqiang:~$
conda install pytorch torchvision cpuonly -c pytorch
# CUDA 9.2
conda install pytorch==1.2.0 torchvision==0.4.0 cudatoolkit=9.2 -c pytorch
# CUDA 10.0
conda install pytorch==1.2.0 torchvision==0.4.0 cudatoolkit=10.0 -c pytorch
# CPU Only
conda install pytorch==1.2.0 torchvision==0.4.0 cpuonly -c pytorch

conda install pytorch==1.4.0 torchvision torchaudio==0.4.0 cpuonly -c pytorch

(pt-1.4_py-3.6) yongqiang@yongqiang:~$ conda install pytorch==1.4.0 torchvision torchaudio==0.4.0 cpuonly -c pytorch
……

Package Plan
environment location: /home/yongqiang/miniconda3/envs/pt-1.4_py-3.6

added / updated specs:
```
- cpuonly
- pytorch==1.4.0
- torchaudio==0.4.0
- torchvision
```
……
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(pt-1.4_py-3.6) yongqiang@yongqiang:~$

(pt-1.4_py-3.6) yongqiang@yongqiang:~$ python
Python 3.6.10 |Anaconda, Inc.| (default, May 8 2020, 02:54:21)
[GCC 7.3.0] on linux
Type “help”, “copyright”, “credits” or “license” for more information.

import torch
import torchvision
import torchaudio

torch.version
‘1.4.0’

torchvision.version
‘0.5.0’

torchaudio.version
‘0.4.0a0+719bcc7’

exit()
(pt-1.4_py-3.6) yongqiang@yongqiang:~$
bash requirement.sh

(pt-1.4_py-3.6) yongqiang@yongqiang:~/pytorch_work/end2end-asr-pytorch$ bash requirement.sh
……
(pt-1.4_py-3.6) yongqiang@yongqiang:~/pytorch_work/end2end-asr-pytorch$

2. References

Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences.
Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer.
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese.