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   电话频带 的翻译结果: 查询用时:0.274秒
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电话频带
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  telephone band
     Telephone Band Continuous Speech Recognition for Chinese Mandarin
     电话频带汉语普通话连续语音识别
短句来源
     Based on the frame energy parameter and the distortion between a frame signal and stable background noise state, an utterance of telephone band Chinese continuous speech signal is divided into character speech that is characterized using Hidden Markov Model (HMM). Using dynamic time warping algorithm and minimizing the distortion, the isolated character speech recognition is performed. Thus continuous speech recognition is realized.
     基于帧能量参数和帧与稳态背景噪声状态之间的失真度,将连续的电话频带汉语语音信号分割至用隐马尔可夫链模型表示的以字为单位的语音,采用动态时间规正算法和最小失真度准则,作以字为单位的语音识别,从而实现连续语音识别.实验表明电话频带连续语音识到正确率达到75%.
短句来源
  相似匹配句对
     The Telephone
     电话
短句来源
     Phone Call
     电话
短句来源
     Telephone Band Continuous Speech Recognition for Chinese Mandarin
     电话频带汉语普通话连续语音识别
短句来源
     ADAPTIVE EQUALIZAT1ON FOR HIGH SPEED DATA TRANSMISSION OVER VOICEBAND TELEPHONE LINES
     话音频带电话线路高速数据传输中的自适应均衡
短句来源
     In Band Multiplexing of AM Broadcasting system
     AM广播的频带复用传输
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  telephone band
Four measurements covering the lower and upper band edges of telephone band speech are saved in measurement vector m.
      
The frequency of the carrier is chosen to be well within the telephone band.
      


Based on the frame energy parameter and the distortion between a frame signal and stable background noise state, an utterance of telephone band Chinese continuous speech signal is divided into character speech that is characterized using Hidden Markov Model (HMM). Using dynamic time warping algorithm and minimizing the distortion, the isolated character speech recognition is performed. Thus continuous speech recognition is realized. The experiments showed that correct rate for the telephone band continuous speech...

Based on the frame energy parameter and the distortion between a frame signal and stable background noise state, an utterance of telephone band Chinese continuous speech signal is divided into character speech that is characterized using Hidden Markov Model (HMM). Using dynamic time warping algorithm and minimizing the distortion, the isolated character speech recognition is performed. Thus continuous speech recognition is realized. The experiments showed that correct rate for the telephone band continuous speech recognition was 75%.

基于帧能量参数和帧与稳态背景噪声状态之间的失真度,将连续的电话频带汉语语音信号分割至用隐马尔可夫链模型表示的以字为单位的语音,采用动态时间规正算法和最小失真度准则,作以字为单位的语音识别,从而实现连续语音识别.实验表明电话频带连续语音识到正确率达到75%.

 
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