雜訊環境下強健性語者辨認的新方法

Novel Approaches for Robust Speaker Identification under Noisy Environments

陳萬城(Wan-Chen Chen)

指導教授 ： 謝景棠

淡江大學/工學院/電機工程學系博士班/博士(2009年)

https://doi.org/10.6846/TKU.2009.01254

摘要

本篇摘要未授權

關鍵字

語者辨認 ； 小波轉換 ； 多層解析 ； 特徵抽取 ； 重要成份分析 ； 高斯混和式模型 ； 多階層向量量化

並列摘要

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並列關鍵字

speaker identification ； wavelet transform ； multi-resolution ； feature extraction ； principal component analysis(PCA) ； Gaussian mixture model(GMM) ； multi-stage vector quantization(MSVQ)

參考文獻

[68] C. T. Hsieh, E. Lai, and W. C. Chen, “Robust speaker identification system based on multilayer eigen-codebook vector quantization,” IEICE Transactions on Information and Systems, vol. E87-D, no. 5, May 2004, pp.1185-1193.

[72] W. C. Chen, C. T. Hsieh, and C. H. Hsu, “Robust Speaker Identification System Based on Two-Stage Vector Quantization,” Tamkang Journal of Science and Engineering, March 2008 accepted.

[1] B. H. Juang and T. H. Chen, “The past, present, and future of speech processing,” IEEE Signal Processing Magazine, vol. 15, no. 3, May 1998, pp. 24-28.

[3] D. A. Reynolds, “Experimental evaluation of features for robust speaker identification,” IEEE Trans. Speech and Audio Processing, vol. 2, no. 4, Oct. 1994, pp. 639-643.

[4] R. J. Mammone, X. Zhang, and R. P. Ramachandran, “Robust speaker recognition, a feature-based approach,” IEEE Signal Processing Magazine, vol. 13, no. 5, 1996, pp. 58-71.