Kernel eigenvoice

Source: Wikipedia, the free encyclopedia.

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

  1. ^ "Kernel Eigenvoice Thesis" (PDF). Archived from the original (PDF) on 2011-06-10. Retrieved 2009-07-17.

External links