Kernel eigenvoice
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Speaker adaptation is an important
Principal Component Analysis
, to capture higher order correlations in order to further explore the speaker space and enhance recognition performance.
See also
References
- ^ "Kernel Eigenvoice Thesis" (PDF). Archived from the original (PDF) on 2011-06-10. Retrieved 2009-07-17.
External links
- Kernel Eigenvoice Speaker Adaptation, ScientificCommons
- Mak, B.; Ho, S. (2005). "Various Reference Speakers Determination Methods for Embedded Kernel Eigenvoice Speaker Adaptation". IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005. Proceedings. ICASSP '05. Vol. 1. pp. 981–984. .
- Mak, B.; Kwok, J. T.; Ho, S. (September 2005). "Kernel Eigenvoice Speaker Adaptation". IEEE Transactions on Speech and Audio Processing. 13 (5): 984–992. S2CID 7361772. Retrieved 2017-11-15.
- Speedup of Kernel Eigenvoice Speaker Adaptation by Embedded Kernel PCA, ICSLP 2004.
- Speaker Adaptation via Composite Kernel PCA, NIPS 2003.
- Mak, Brian Kan-Wing; Hsiao, Roger Wend-Huu; Ho, Simon Ka-Lung; Kwok, J. T. (July 2006). "Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting". IEEE Transactions on Audio, Speech, and Language Processing. 14 (4): 1267–1280. S2CID 7527119.