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end2end asr system with ctc + dynamic cnn transformer, well organized using custom template

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Speech Recognition

dataset: aishell1

Setup:

use docker: docker pull tongjinle/tasr:v1

mkdir lm
download[this file](https://deepspeech.bj.bcebos.com/zh_lm/zh_giga.no_cna_cmn.prune01244.klm)and put it into lm/

use:

download aishell:
    bash scripts/data/download_aishell.sh
preprocess:
    bash scripts/data/*
    bash scripts/train/*

result: beam decode with lm cer:7.2

curves:

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