Chinese-speech-to-text
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liangstein
This is my test results with 1.wav, which use your upload model. does their any method that can i enhance results ?
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This is not the result I have got. There is something wrong with your code.
我也用你上传的模型，跑了一遍，5个wav结果如下（就是利用函数listen（）做预测），结果也不是很好，请问你有没有用其他技巧 一九九山年二二十的上午务四穿声看月显安人向武村碰加工嫂五人进城都体一服 看亚够考前跑后你直惊准的山却也得他王欧尧起声王的在山进回道 北积穿过云层易下一片鱼海又时头过喜过的运物一些可件然国冲绿的群山大底 王宁看被墙颠后不范云燕孙场起来及自卫不均为抓活 其书有现人原本于穷取来观邪不凑找他了莫银杷要求看四损面看富面
Sorry , if I use more file to train the model , may the result be better ? or is there any method that can enhance the result such as more mfcc features or audio data preprocessing?
@pingchesu Indeed! However the quality of the dataset is very important. mfcc features needn't to be very large, unless enough GPU power is possessed.
@liangstein thanks for answering my questions, the problem I encounterd is that some of my wav file which duration are 10 seconds , but only contained 5 second voice. The rest of 5 seconds are noise or silent. Would you recommend some methods to solve these problems especially for speech to sentence? The way I found in the internet always talk about how to deal with speech to words ,not for speech to sentence. Sorry for bothering you!!