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關注：1
2013-05-23 12:21
求翻譯：對語音信號進行同態分析后將得到其倒譜參數，所以同態分析也稱為倒譜分析。由于對語音信號分析是以幀為單位進行的，所以得到的是短時倒譜參數。無論是對于語音通信,語音合成還是語音識別，倒譜參數所含的信息比其他參數多得多，也就是說語音質量好、識別準確率高；其缺點是運算量比較大。盡管如此，倒譜分析仍是一種有效的語音信號分析方法。是什么意思？ 待解決
 懸賞分：1
- 離問題結束還有
對語音信號進行同態分析后將得到其倒譜參數，所以同態分析也稱為倒譜分析。由于對語音信號分析是以幀為單位進行的，所以得到的是短時倒譜參數。無論是對于語音通信,語音合成還是語音識別，倒譜參數所含的信息比其他參數多得多，也就是說語音質量好、識別準確率高；其缺點是運算量比較大。盡管如此，倒譜分析仍是一種有效的語音信號分析方法。
問題補充： |
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2013-05-23 12:21:38
Homomorphic analysis will get their cepstrum and homomorphic analysis, also known as the cepstrum analysis of speech signals. As the voice signal analysis is based on units of frames, so the short-term cepstral parameters. Whether it is for voice communication, speech synthesis, speech recognition,
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2013-05-23 12:23:18
With the voice signal analysis, it will be the same, so we produced analysis is also known as inverted spectrum analysis. Because of the voice signal analysis is in frames, so it is only a short time the inverted spectrum argument. Whether it is for voice communication, speech synthesis and speech r
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2013-05-23 12:24:58
Will carry on homomorphism analysis after the pronunciation signal to obtain its cepstrum parameter, therefore homomorphism analysis will also be called the cepstrum analysis.Because is carries on
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2013-05-23 12:26:38
Homomorphism analysis of speech signals will be after its cepstrum parameter, so the same analysis is also called spectrum analysis. Due to a speech signal analysis is carried out, to frame, short-term cepstrum parameter is what you get. Whether it is for voice communications, speech synthesis or vo
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2013-05-23 12:28:18
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