Speaker Identification based on Discriminative Vector Quantization

被引：0
|
作者：
Zhou, GY [1 ]
Mikhael, WB [1 ]
机构：
[1] Univ Cent Florida, Dept Elect & Comp Engn, Orlando, FL 32816 USA
来源：
Proceedings of the 46th IEEE International Midwest Symposium on Circuits & Systems, Vols 1-3 | 2003年
关键词：
discriminative weight; Speaker identification; subspaces; Vector quantization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel Discriminative Vector Quantization method for Speaker Identification (DVQSI) is proposed, and its parameters selection is discussed. The vector space of speech features is divided into a number of subspaces and the distribution of the interspeaker variation inside the speech feature vector space is considered. Discriminative weighted average distortion instead of equally weighted average distortion is used in Speaker Identification (SI). The proposed approach can be considered a generalization of the existing Vector Quantization (VQ) technique and the experimental results confirm the improved S accuracy.
引用
收藏
页码：617 / 620
页数：4
相关论文
共 50 条
  • [1] Novel discriminative vector quantization approach for speaker identification
    Zhou, GY
    Mikhael, WB
    Myers, B
    [J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2005, 14 (03) : 581 - 596
  • [2] Analysis of discriminative vector quantization approach for speaker identification
    Zhou, GY
    Mikhael, WB
    [J]. 8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS: IMAGE, ACOUSTIC, SIGNAL PROCESSING AND OPTICAL SYSTEMS, TECHNOLOGIES AND APPLICATIONS, 2004, : 479 - 483
  • [3] Speaker identification based on vector quantization
    Radová, V
    Svenda, Z
    [J]. TEXT, SPEECH AND DIALOGUE, 1999, 1692 : 341 - 344
  • [4] Speaker identification based on adaptive discriminative vector quantisation
    Zhou, G.
    Mikhael, W. B.
    [J]. IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 2006, 153 (06): : 754 - 760
  • [5] Speaker identification using spectrogram and learning vector quantization
    Li, Penghua
    Zhang, Shunxing
    Feng, Huizong
    Li, Yuanyuan
    [J]. Journal of Computational Information Systems, 2015, 11 (09): : 3087 - 3095
  • [6] A modified group vector quantization algorithm for speaker identification
    Abu El-Yazeed, MF
    Kader, NSA
    El-Henawy, MM
    [J]. PROCEEDINGS OF THE 46TH IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS & SYSTEMS, VOLS 1-3, 2003, : 629 - 632
  • [7] Vector Quantization Decision Function for Gaussian Mixture Model Based Speaker Identification
    Ahmad, Abdul Manan
    Yee, Loh Mun
    [J]. 2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS 2008), 2008, : 363 - 366
  • [8] Robust Speaker Identification System Based on Two-Stage Vector Quantization
    Chen, Wan-Chen
    Hsieh, Ching-Tang
    Hsu, Chih-Hsu
    [J]. JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2008, 11 (04): : 357 - 366
  • [9] Discrete Fractional Fourier Transform and Vector Quantization Based Speaker Identification System
    Walia, Mandeep Singh
    [J]. 2014 FOURTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION TECHNOLOGIES (ACCT 2014), 2014, : 459 - 463
  • [10] Speaker Identification with Vector Quantization and K-Harmonic Means
    Yazici, Mustafa
    Ulutas, Mustafa
    [J]. 2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2014, : 2134 - 2137
12345