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Title:
SPEAKER IDENTIFICATION METHOD BASED ON SPEECH SAMPLE FEATURE SPACE TRAJECTORY
Document Type and Number:
WIPO Patent Application WO/2020/143263
Kind Code:
A1
Abstract:
A speaker identification method based on a speech sample feature space trajectory, the method comprising: clustering unmarked speech data features to obtain a speech feature space representing an identifier subset; using a marked speech sample to implement speaker registration and obtaining motion trajectory information and distribution information of the speaker in the speech feature space; and using the distribution information of the speaker in the speech feature space and motion trajectory information of the speech sample to implement identification of a speech sample to be identified. Using the idea of speaker speech feature spatial positioning, the complexity of identifying the speaker is low, solving the problem of the high degree of complexity of GMM-UBM calculation; the speech feature space of a speaker in one language can serve as the speech feature space for identification of the speaker in another language, implementing data sharing.

Inventors:
HE QIANHUA (CN)
WU KEQIAN (CN)
XIE WEI (CN)
PANG WENFENG (CN)
Application Number:
PCT/CN2019/111530
Publication Date:
July 16, 2020
Filing Date:
October 16, 2019
Export Citation:
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Assignee:
UNIV SOUTH CHINA TECH (CN)
International Classes:
G10L17/04; G10L17/02; G10L17/08
Foreign References:
CN109545229A2019-03-29
CN102024455A2011-04-20
CN109065059A2018-12-21
CN109065028A2018-12-21
CN105845141A2016-08-10
CN102479511A2012-05-30
US20180342250A12018-11-29
US5598507A1997-01-28
Attorney, Agent or Firm:
GUANGZHOU HUAXUE INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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