Method of real-time speaker change point detection, speaker...

Details Method of real-time speaker change point detection, speaker... Method of real-time speaker change point detection, speaker...

2007-02-20

2007-02-20

Hudspeth, David (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S270100

Reexamination Certificate

active

10306971

ABSTRACT:
A method is provided for real-time speaker change detection and speaker tracking in a speech signal. The method is a “coarse-to-refine” process, which consists of two stages: pre-segmentation and refinement. In the pre-segmentation process, the covariance of a feature vector of each segment of speech is built initially. A distance is determined based on the covariance of the current segment and a previous segment; and the distance is used to determine if there is a potential speaker change between these two segments. If there is no speaker change, the model of current identified speaker model is updated by incorporating data of the current segment. Otherwise, if there is a speaker change, a refinement process is utilized to confirm the potential speaker change point.

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S. Chen and P.S. Gopalakrishnan, “Speaker Environment, and Channel Change Detection and Clustering via the Bayesian Information Criterion,” Proceedings of DARPA Broadcast News Transcription and Understanding Workshop, (1998).

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