Text-dependent Speaker Recognition for Vietnamese

被引：0

作者：

Diep Dao Thi Thu ^{[1
]}

Quang Nguyen Hong ^{[2
]}

Loan Trinh Van ^{[2
]}

Hung Pham Ngoc ^{[1
]}

机构：

[1] Hung Yen Univ Technol & Educ, Hungyen, Vietnam

[2] Hanoi Univ Sci & Technol, Hanoi, Vietnam

来源：

2013 INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR) | 2013年

关键词：

Text-dependent; Speaker Recognition; Vietnamese; ALIZE; Sphinx;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new method for Vietnamese text-dependent speaker recognition. The system is modeled for each speaker using mixture model Gaussian GMM (Gaussian Mixture Model). The phonemes in the keywords are represented by hidden Markov models HMM. The prior and posterior probabilities for keywords and speakers have been combined together to identify speakers. The results showed that in the case the speaker did not say a long enough phrase, this approach has increased performance of speaker identification.

引用

页码：196 / 200

页数：5

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