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基于語(yǔ)音諧波結(jié)構(gòu)的魯棒特征參數(shù)及其在說(shuō)話人識(shí)別中的應(yīng)用

張玲華 鄭寶玉 楊震

張玲華, 鄭寶玉, 楊震. 基于語(yǔ)音諧波結(jié)構(gòu)的魯棒特征參數(shù)及其在說(shuō)話人識(shí)別中的應(yīng)用[J]. 電子與信息學(xué)報(bào), 2006, 28(10): 1786-1789.
引用本文: 張玲華, 鄭寶玉, 楊震. 基于語(yǔ)音諧波結(jié)構(gòu)的魯棒特征參數(shù)及其在說(shuō)話人識(shí)別中的應(yīng)用[J]. 電子與信息學(xué)報(bào), 2006, 28(10): 1786-1789.
Zhang Ling-hua, Zheng Bao-yu, Yang Zhen. Robust Feature Based on Speech Harmonic Structure for Speaker Identification[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1786-1789.
Citation: Zhang Ling-hua, Zheng Bao-yu, Yang Zhen. Robust Feature Based on Speech Harmonic Structure for Speaker Identification[J]. Journal of Electronics & Information Technology, 2006, 28(10): 1786-1789.

基于語(yǔ)音諧波結(jié)構(gòu)的魯棒特征參數(shù)及其在說(shuō)話人識(shí)別中的應(yīng)用

Robust Feature Based on Speech Harmonic Structure for Speaker Identification

  • 摘要: 通過(guò)對(duì)純凈語(yǔ)音及含噪語(yǔ)音短時(shí)譜的分析比較,提出了一種基于基音頻率及其諧波結(jié)構(gòu)的新的語(yǔ)音特征參數(shù)。實(shí)驗(yàn)表明,與傳統(tǒng)的倒譜特征相比,新特征對(duì)加性白噪聲相對(duì)較不敏感,在閉集文本無(wú)關(guān)說(shuō)話人識(shí)別中,新特征可以在加性白高斯噪聲環(huán)境下提高系統(tǒng)的說(shuō)話人識(shí)別率。
  • Murthy H A, Beaufays F, Heck L P, et al.. Robust text-independent speaker identification over telephone channels[J].IEEE Trans. on Speech and Audio Processing.1999, 7(5):554-568[2]Assaleh K T, Mammone R J. New LP-derived features for speaker identification[J].IEEE Trans. on Speech and Audio Processing.1994, 2(4):630-638[3]Hsieh C T, Lai E, Wang Y C. Robust speech features based on wavelet transform with application to speaker identification[J].IEE Proc.-Vis. Image Signal Process.2002, 149(2):108-114[4]Doddington G. Speaker recognition based on idiolectal differences between speakers. Eurospeech, 2001, 4: 2517-2520.[5]Adami A, Mihaescu R, et al.. Modeling prosodic dynamics for speaker recognition[J].Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003 (ICASSP03), Hong Kong.2003, 4:788-791[6]Peskin B, Navrati J, Abramson J,et al.. Using prosodic and conversational features for high performance speaker recognition: Report from JHU WS02[J].Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003 (ICASSP03), Hong Kong.2003, 4:792-795[7]Mammone R J, Zhang X, Pamachandran R P. Robust speaker recognition: A feature-based approach[J].IEEE Signal Processing Magazine.1996, 13(5):58-71[8]Ahmadi S, Spanias A S. Cepstrum-based pitch detection using a new statistical V/UV classification algorithm[J].IEEE Trans. on Speech and Audio Processing.1999, 7(3):333-338[9]姚天任. 語(yǔ)音信號(hào)處理. 武漢:華中理工大學(xué)出版社,1992年5 結(jié)束語(yǔ)4月,第6章6.8節(jié).[10]易克初, 田斌, 付強(qiáng). 語(yǔ)音信號(hào)處理. 北京:國(guó)防工業(yè)出版社,2000年6月,第3章3.5節(jié).[11]Hess W. Pitch Determination of Speech Signals. Springer-Verlag, Berlin, Germany: 1983.[12]易克初, 田斌, 付強(qiáng). 語(yǔ)音信號(hào)處理. 北京:國(guó)防工業(yè)出版社,2000年6月,第4章4.4節(jié).
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  • 收稿日期:  2005-02-21
  • 修回日期:  2005-10-31
  • 刊出日期:  2006-10-19

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