Automatic segmentation in speech synthesis

Details Automatic segmentation in speech synthesis Automatic segmentation in speech synthesis

2007-09-04

2007-09-04

Chawan, Vijay B. (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Synthesis

C704S256000, C704S266000, C704S253000

Reexamination Certificate

active

10341869

ABSTRACT:
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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