文件名称:Speech-signal-classification-
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-06-19
- 文件大小：
- 367kb
- 下载次数：
- 0次
- 提 供 者：
- 吴*
- 相关连接：
- 无
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介绍说明－－下载内容均来自于网络，请自行研究使用
语音特征信号识别是语音识别研究领域中的一个重要方面,一般采用模式匹配的原理解
决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果.-Speech characteristic signal recognition is an important aspect in the field of speech recognition research, generally USES pattern matching the original understanding
Definitely. Operation process of speech recognition are as follows: first, after waiting for voice recognition into electrical signal input and recognition system, after pretreatment
Mathematical method was used to extract speech signal, and extracts the phonetic characteristics of signals can be as the segment of speech patterns. And then the
Audio model compared to a known reference model, get the best match the reference pattern for this speech recognition results.
决。语音识别的运算过程为:首先,待识别语音转化为电信号后输入识别系统,经过预处理后用数学方法提取语音特征信号,提取出的语音特征信号可以看成该段语音的模式。然后将该段语音模型同已知参考模式相比较,获得最佳匹配的参考模式为该段语音的识别结果.-Speech characteristic signal recognition is an important aspect in the field of speech recognition research, generally USES pattern matching the original understanding
Definitely. Operation process of speech recognition are as follows: first, after waiting for voice recognition into electrical signal input and recognition system, after pretreatment
Mathematical method was used to extract speech signal, and extracts the phonetic characteristics of signals can be as the segment of speech patterns. And then the
Audio model compared to a known reference model, get the best match the reference pattern for this speech recognition results.
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下载文件列表
Speech signal classification BP neural network\BP.m
..............................................\BPDLX.m
..............................................\data1.mat
..............................................\data2.mat
..............................................\data3.mat
..............................................\data4.mat
Speech signal classification BP neural network