Unsupervised speaker segmentation of multi-speaker speech data

Details Unsupervised speaker segmentation of multi-speaker speech data Unsupervised speaker segmentation of multi-speaker speech data

2011-04-19

2011-04-19

Vo, Huyen X. (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S245000, C704S250000

Reexamination Certificate

active

07930179

ABSTRACT:
Systems and methods for unsupervised segmentation of multi-speaker speech or audio data by speaker. A front-end analysis is applied to input speech data to obtain feature vectors. The speech data is initially segmented and then clustered into groups of segments that correspond to different speakers. The clusters are iteratively modeled and resegmented to obtain stable speaker segmentations. The overlap between segmentation sets is checked to ensure successful speaker segmentation. Overlapping segments are combined and remodeled and resegmented. Optionally, the speech data is processed to produce a segmentation lattice to maximize the overall segmentation likelihood.

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