Automatic segmentation in speech synthesis

Details Automatic segmentation in speech synthesis Automatic segmentation in speech synthesis

G - Physics

10

L

G10L 13/04 (2006.01) G10L 13/06 (2006.01)

Patent

CA 2423144

Systems and methods for automatically segmenting speech inventories. A set of Hidden Markov Models (HMMs) are initialized using bootstrap data. The HMMs are next re-estimated and aligned to produce phone labels. The phone boundaries of the phone labels are then corrected using spectral boundary correction. Optionally, this process of using the spectral-boundary-corrected phone labels as input instead of the bootstrap data is performed iteratively in order to further reduce mismatches between manual labels and phone labels assigned by the HMM approach.

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