文件名称:Cforspeech
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：用C 语言实现了一个用于控制家电开关的声音模块. 该声音模块采用当前语音识别系统的主流技
术——隐马尔可夫模型（HMM）技术，以及线性预测倒谱计算和矢量量化技术. 命令（单词）的正确识别率
在97 以上. 介绍了声音模块的设计方案，并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound module voice recognition systems using current mainstream technologies- Hidden Markov Model (HMM) technology, as well as the linear prediction cepstrum calculation and vector quantization technology. command (word) the correct recognition rate in more than 97 . introduced a sound module design and the realization of the sound module on the course of the specific problems encountered were discussed.相关搜索： hmm
HMM
word
recognition
矢量量化
vad
声音
识别
家电
线性预测倒谱
hidden
markov
model
word
recognition
HMM
for
sound
recognition
术——隐马尔可夫模型（HMM）技术，以及线性预测倒谱计算和矢量量化技术. 命令（单词）的正确识别率
在97 以上. 介绍了声音模块的设计方案，并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound module voice recognition systems using current mainstream technologies- Hidden Markov Model (HMM) technology, as well as the linear prediction cepstrum calculation and vector quantization technology. command (word) the correct recognition rate in more than 97 . introduced a sound module design and the realization of the sound module on the course of the specific problems encountered were discussed.相关搜索： hmm
HMM
word
recognition
矢量量化
vad
声音
识别
家电
线性预测倒谱
hidden
markov
model
word
recognition
HMM
for
sound
recognition
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C語言實現.pdf