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License: Apache License 2.0
An Automatic Speech Recognition Frame ,一个中文语音识别的完整框架, 提供了多个模型
License: Apache License 2.0
这样的尝试,作者你是否做过了?
是否有其他资料或者论文可以共享一下吗?
谢谢
使用的release里的两个模型,运行 run_real_predict.py 时报错缺少变量"fs"——record_from_wav() missing 1 required positional argument: 'fs'. 请问该怎么解决,万分感谢
aishell的音频数据,train和dev下有一些目录有wav文件但是没有与其对应的txt文件。
写了个小php脚本做对应数据处理
`<?php
function checkFile($dir){
foreach(glob($dir."/*.wav") as $wav)
{
$fileArr = explode(".wav",$wav);
$i=0;
if(!file_exists($fileArr[0].".txt")){
print_r("delect file:".$dir.$fileArr[0].".wav".PHP_EOL);
unlink($fileArr[0].".wav");
}
}
}
$str = "S0724
S0725
S0726
S0727
S0728
S0729
S0730
S0731
S0732
S0733
S0734
S0735
S0736
S0737
S0738
S0739
S0740
S0741
S0742
S0743
S0744
S0745
S0746
S0747
S0748
S0749
S0750
S0751
S0752
S0753
S0754
S0755
S0756
S0757
S0758
S0759
S0760
S0761
S0762
S0763";
$dirs = explode("\n",$str);
foreach($dirs as $item){
checkFile("/Users/xxx/speechAndMachineLearning/speechData/data_aishell/wav/dev/".$item."/");
}
?>`
这个语言模型的效果好像很一般,有没有训练好的其他的语言模型权重
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