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A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

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Hello, Do you think this project is suitable for the code-switching topic, especially in Mandarin-English?

模型在训练时,保存一次模型之后会出现如下错误。本人电脑显卡为GeForce 1060,batch_size设置为8,请问是因为显卡内存不够的原因吗? 2020-06-08 21:06:33.504024: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: name: GeForce GTX 1060 6GB major: 6 minor: 1 memoryClockRate(GHz): 1.7845 pciBusID: 0000:01:00.0 2020-06-08 21:06:33.504241: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened...

You said this repo has at least one model which is created with attention. But I can't find any. could you edit that? Or show me which model is attention...

我用的是v0.6.0版本,windows系统,单独跑test.py是没有问题的,参考asrserver.py,我重新基于Flask写了一个简单的api服务,如下: import json from flask import Flask, request, jsonify from SpeechModel251 import ModelSpeech from LanguageModel2 import ModelLanguage from keras import backend as K from general_function.file_wav import * datapath = "./"...

input_length.append(data_input.shape[0] // 8 + data_input.shape[0] % 8)

想知道作者训练时是用的什么规格的GPU?这边想训练自己的模型,但是200h+有些太长,所以在考虑增加多块2080Ti比较好还是提高到Titan比较好呢?

最近在研究语音识别,看到这个模型感觉识别率很高又很实用。语音的特征提部分是采用MCFF方法吗

感谢作者的分享。 用了data_thchs30和ST-CMDS-20170001_1-OS数据,只有CPU,一天24h只能训练4500step,训练到3万次效果还不是很好(和作者的62.5万次还有差距),2.4万次的时候loss=25(供大家参考)。 预测拼接结果还是有一些是正确的,问题出在拼接转汉字,语音模型能用transformer替代希望能有提高。

Hi, I used my collected data to train the model, but unfortunately, there is an error during the training process. Here is the log information. ![bug](https://user-images.githubusercontent.com/34771910/76159902-09f49500-6160-11ea-8374-3bf7da41de74.PNG) Can u give me...

I tried to use TF2.0 but there're several functions which are deprecated. I made changes to the code, to make it compatible with TF2.0. If you're thinking of testing or...