Speaker Transformation Using Length-variable Moving Window Based GMM

摘要：

Speaker transformation is that the speech of A is transformed to one of the B but the content of speech is not changeable. The pitch period is changeable during the pronunciation. The matching of feature parameters of two kinds of speech of speaker transformation applies moving window to extract the parameters of speech. Owing to the difference of period of speech signal, the matching error occurs. The proposed length-variable moving window algorithm is to select the different length moving window for speech segmentation, which caused each window to contain the same period of speech signal. Thus parameters difference caused by the difference of speech signal is eliminated. The experiments demonstrate the proposed algorithm enhance the performance of speech transformation.

关键词： Speaker transformation length-variable moving window GMM

作者: Guangyu Kang Shize Guo

作者单位: Department of Automatic Test and Control, Harbin Institute of Technology Harbin, China No. 54 Institute from Headquarters of the General Staff Beijing China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）