Robust Speaker Identification System Based on Two-Stage Vector Quantization
學年 97
學期 1
出版（發表）日期 2008-12-01
作品名稱 Robust Speaker Identification System Based on Two-Stage Vector Quantization
作品名稱（其他語言）
著者 Chen, Wan-chen; 謝景棠; Hsieh, Ching-tang; Hsu, Chih-hsu
單位 淡江大學電機工程學系
出版者 淡江大學
著錄名稱、卷期、頁數 淡江理工學刊 = Tamkang Journal of Science and Engineering 11(4), pp.357-366
摘要 This paper presents an effective method for speaker identification system. Based on the wavelet transform, the input speech signal is decomposed into several frequency bands, and then the linear predictive cepstral coefficients (LPCC) of each band are calculated. Furthermore, the cepstral mean normalization technique is applied to all computed features in order to provide similar parameter statistics in all acoustic environments. In order to effectively utilize these multi-band speech features, we propose a multi-band 2-stage vector quantization (VQ) as the recognition model in which different 2-stage VQ classifiers are applied independently to each band and the errors of all 2-stage VQ classifiers are combined to yield total error and a global recognition decision. Finally, the KING speech database is used to evaluate the proposed method for text-independent speaker identification. The experimental results show that the proposed method gives better performance than other recognition models proposed previously in both clean and noisy environments.
關鍵字
語言 en
ISSN 1560-6686
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度 否
國別 TWN
公開徵稿
出版型式 ,電子版
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