Feature extracted from wavelet decomposition using biorthogonal Riesz basis for text-independent speaker recognition

✍ Scribed by Shung-Yung Lung

• Publisher: Elsevier Science
• Year: 2008
• Tongue: English
• Weight: 139 KB
• Volume: 41
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/j.patcog.2008.03.020

✦ Synopsis

A new speaker feature extracted from wavelet decomposition using biorthogonal Riesz bases is described. Biorthogonal Riesz bases can offer a significant computational advantage by reducing the dimensionality of the eigenvalue problem at a not square matrix. Our results have shown that these wavelet Riesz bases introduced better performance than the other wavelet transforms with respect to the percentages of recognition.