期刊文献+

基于KLT算法和MMCE的说话人识别

Speaker recognition based on KLT and MMCE
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摘要 利用自适应KLT提出了一种新的语音去噪方法。自适应KLT的语音去噪算法,不需要白化处理,既可以自适应跟踪KLT阵,又能够有效地协调去噪后信号的音质与可懂度之间的矛盾。在说话人识别阶段采用改进的MCE。实验表明,该混合系统确实能够增强说话人辨认的鲁棒性和识别率。 In this paper,a kind of novel speech de-noising method based on the combination of wavelet de-noising and adapting KLT is proposed.The speech de-noising arithmetic of adapting KLT need not white processing.It is adapted to tract KLT matrix, as well as effectively harmonized the contradiction between signal tone after de-noising and intelligibility.At the recognition stage, Modified MCE is adopted.The experiment is showed that the hybrid system can indeed enhance the robust and the speaker recognition rate of speaker recognition.
出处 《计算机工程与应用》 CSCD 北大核心 2009年第15期194-195,215,共3页 Computer Engineering and Applications
关键词 自适应KLT 改进的MCE 鲁棒性 adapted KLT modified MCE robust
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参考文献9

  • 1邱政权,尹俊勋,薛丽萍.基于DWT-TEO的说话人识别[J].自动化学报,2006,32(5):753-759. 被引量:5
  • 2邱政权,尹俊勋,杨俊.在噪声环境下的分级说话人辨识[J].控制与决策,2007,22(5):581-584. 被引量:2
  • 3Slimene I,Jebara S B,Benazza-Benyahia A.Use of coherence in wavelet and multiwavelet domain for microphone array speech enhancement[C]//The 1st International Symposium on Control,Communications and Signal Processing, 2004,2004: 627-630.
  • 4Donoho D L.De-noising by soft-thresholding[J].IEEE Trans on IT, 1995,41 (3) :613-627.
  • 5Gianfelici F,Biagetti G,Crippa P,et al.A novel KLT algorithm optimized for small signal sets[C]//Proc of ICASSP 2005,2005,1:405- 408.
  • 6Bahoura M,Rouat J.Wavelet speech enhancement based on the teager energy operator[J].IEEE Signal Processing Letters,2001,8 (1):10-12.
  • 7Rezayee A,Gazor S.An adaptive KLT app roach for speech enhancement[J].IEEE Transaction on Speech and Audio Processing, 2001,9(2) :87-94.
  • 8Ichino M,Sakano H,Komatsu N.Speaker recognition using kernel mutual subspace method[C]//Procot of ICARCV 2004,2004,1:397- 402.
  • 9李晓宇,李虎生,刘加,刘润生.利用MCE算法提高说话人识别性能[J].电路与系统学报,2000,5(3):46-49. 被引量:10

二级参考文献17

  • 1楼红伟,胡光锐.基于Teager能量算子和小波变换的语音识别特征参数[J].上海交通大学学报,2003,37(z1):83-85. 被引量:2
  • 2刘文举,孙兵,钟秋海.基于说话人分类技术的分级说话人识别研究[J].电子学报,2005,33(7):1230-1233. 被引量:5
  • 3白俊梅,张世磊,张树武,徐波.噪声环境下的鲁棒性说话人识别[J].中文信息学报,2006,20(1):91-97. 被引量:5
  • 4Merialdo B. Phonetic recognition using hidden Markov models and maximum mutual information trainning[A]. Proc. ICASSP-88[C]. 111-114
  • 5Normandin Y. Optimal splitting of HMM Gaussian mixture components with MMIE trainning[A]. Proc. ICASSP-95[C].449-452.
  • 6Davis S B, Mermelstein P. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences[J].IEEE Trans, on Speech and Audio Signal Processing, 1980, 28 (4):357-366.
  • 7Joseph P. Campbell, JP.. Speaker Recognition: A Tutorial[J]. Proc. of the IEEE, 1997,.85(.9): 1437-1462.
  • 8Douglas A. Reynolds, Richard C. Rose. Robust Text-Independent Speaker Identification Using Gaussian Mixture Speaker Models[J]. IEEE Trans. On Speech and Audio Processing, 1995, 3(1):72-83.
  • 9L. R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition[J]. Proc. Of the IEEE,1989,77(2):257-285.
  • 10Juang Bing-Hwang, Lee Chin-Hui. Minimum Classification Error Rate Methods for Speech Recognition[J]. IEEE Trans. On Speech and Audio Processing. 1997,5(3):257-265.

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