搜索资源列表
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语音合成与识别,代码条理清楚，方便学习使用-speech synthesis and recognition, code clarity to facilitate learning
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Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner
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bp神经网络的程序代码，可以应用于语音识别，图像识别等
-bp neural network code, can be applied to speech recognition, image recognition, etc.
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在语音识别中，用隐马尔科夫模型（HMM）进行训练，用C++编写的仿真代码-In speech recognition, hidden Markov model (HMM) for training, simulation code written in C++
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语音识别源代码，包括c++和matlab.解决你的后顾之忧。-Speech recognition source code, including c++ and matlab
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基于深度学习平台tensorflow，利用RNN网络进行语音识别实例代码，希望对大家有帮助(Based on the deep learning platform tensorflow, the RNN network is used to carry out the speech recognition instance code, hoping to be helpful to everyone)
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