Kernel eigenvoice explained

Speaker adaptation is an important technology to fine-tune either features or speech models for mis-match due to inter-speaker variation. In the last decade, eigenvoice (EV) speaker adaptation has been developed. It makes use of the prior knowledge of training speakers to provide a fast adaptation algorithm (in other words, only a small amount of adaptation data is needed). Inspired by the kernel eigenface idea in face recognition, kernel eigenvoice (KEV) is proposed.^[1] KEV is a non-linear generalization to EV. This incorporates Kernel principal component analysis, a non-linear version of Principal Component Analysis, to capture higher order correlations in order to further explore the speaker space and enhance recognition performance.

See also

• fMLLR

References

1. Web site: Kernel Eigenvoice Thesis . 2009-07-17 . https://web.archive.org/web/20110610141128/http://www.cs.ust.hk/~mak/PG-Thesis/thesis-simon.pdf . 2011-06-10 . dead .

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 . 1 . 981–984 . 10.1109/ICASSP.2005.1415280.
• Mak . B. . Kwok . J. T. . Ho . S. . September 2005 . Kernel Eigenvoice Speaker Adaptation . IEEE Transactions on Speech and Audio Processing . 13 . 5 . 984–992 . 1063-6676 . 10.1109/TSA.2005.851971 . 7361772 . 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 . 10.1109/TSA.2005.860836. 10.1.1.206.4596 . 7527119 .