Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (15): 194-195.DOI: 10.3778/j.issn.1002-8331.2009.15.056
• 图形、图像、模式识别 • Previous Articles Next Articles
FAN Xiao-chun,QIU Zheng-quan
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范小春,邱政权
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Abstract: 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.
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。
FAN Xiao-chun,QIU Zheng-quan. Speaker recognition based on KLT and MMCE[J]. Computer Engineering and Applications, 2009, 45(15): 194-195.
范小春,邱政权. 基于KLT算法和MMCE的说话人识别[J]. 计算机工程与应用, 2009, 45(15): 194-195.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009.15.056
http://cea.ceaj.org/EN/Y2009/V45/I15/194