Speaker recognition using dynamic time warp template spotting

Details Speaker recognition using dynamic time warp template spotting Speaker recognition using dynamic time warp template spotting

2006-05-23

2006-05-23

Abebe, Daniel (Department: 2655)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S248000

Reexamination Certificate

active

07050973

ABSTRACT:
An improved template spotting technique may be implemented as part of text dependent speaker verification system to authenticate a user of a wireless communication device. This technique may be suitable for use in noisy environments and for wireless communication devices with limited processing power. Endpoints of a test utterance are identified by first computing local distances between test frames and a target template. Accumulated distances are then computed from the local distances. Endpoints of the utterance may be identified when one or more of the accumulated distances is below a predetermined threshold. Once endpoints of a test utterance are identified, a dynamic time warp (DTW) process may be used to determine whether the test utterance matches a training template. One embodiment of the present invention aligns multiple training templates to reduce the probability of failing to verify the identity of a speaker that should have been properly verified.

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