Data-driven global boundary optimization

Details Data-driven global boundary optimization Data-driven global boundary optimization

2003-10-23

2008-08-05

Edouard, Patrick N. (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Synthesis

C704S258000, C704S265000

Reexamination Certificate

active

07409347

ABSTRACT:
Portions from segment boundary regions of a plurality of speech segments are extracted. Each segment boundary region is based on a corresponding initial unit boundary. Feature vectors that represent the portions in a vector space are created. For each of a plurality of potential unit boundaries within each segment boundary region, an average discontinuity based on distances between the feature vectors is determined. For each segment, the potential unit boundary associated with a minimum average discontinuity is selected as a new unit boundary.

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