TEXT DEPENDENT SPEAKER RECOGNITION USING SHIFTED MFCC

被引：0
|
作者：
Mukherjee, Rishiraj [1 ]
Islam, Tanmoy [1 ]
Sankar, Ravi [1 ]
机构：
[1] Univ S Florida, Dept Elect Engn, Tampa, FL 33620 USA
来源：
2012 PROCEEDINGS OF IEEE SOUTHEASTCON | 2012年
关键词：
Gaussian Mixture Model (GMM); MFCC (Mel Frequency Cepstral Components); Speaker Recognition;
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：
In the past decade, interest in using biometric technologies for person authentication in security systems has grown rapidly. Voice is one of the most promising and mature biometric modalities for secured access control. In this paper, we present a novel approach to recognize/identify speakers by including a new set of features and using Gaussian mixture models (GMMs). In this research, the concept of shifted MFCC is introduced so as to incorporate accent information in the recognition algorithm. The algorithm was evaluated using TIDIGIT dataset and the results showed improvements over the performance of our previous work [1].
引用
收藏
页数：4
相关论文
共 50 条
  • [1] TEXT DEPENDENT SPEAKER RECOGNITION USING SHIFTED MFCC
    Mukherjee, Rishiraj
    Islam, Tanmoy
    Sankar, Ravi
    [J]. 2013 PROCEEDINGS OF IEEE SOUTHEASTCON, 2013,
  • [2] Speaker Recognition using MFCC, shifted MFCC with Vector Quantization and Fuzzy
    Bansal, Priyanka
    Imam, Syed Akhtar
    Bharti, Roma
    [J]. 2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND IMPLEMENTATIONS (ICSCTI), 2015,
  • [3] An Efficient Text Dependent Speaker Recognition using Fusion of MFCC and SBC
    Kishore, K. V. Krishna
    Sharrefaunnisa, Syed.
    Venkatramaphanikumar, S.
    [J]. 2015 1ST INTERNATIONAL CONFERENCE ON FUTURISTIC TRENDS ON COMPUTATIONAL ANALYSIS AND KNOWLEDGE MANAGEMENT (ABLAZE), 2015, : 18 - 22
  • [4] Text dependant speaker recognition using MFCC, LPC and DWT
    Chelali F.Z.
    Djeradi A.
    [J]. International Journal of Speech Technology, 2017, 20 (03) : 725 - 740
  • [5] On the Use of MFCC Feature Vector Clustering for Efficient Text Dependent Speaker Recognition
    Samal, Ankit
    Parida, Deebyadeep
    Satapathy, Mihir Ranjan
    Mohanty, Mihir Narayan
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2013, 2014, 247 : 305 - 312
  • [6] Text-dependent speaker recognition using speaker specific compensation
    Laxman, S
    Sastry, PS
    [J]. IEEE TENCON 2003: CONFERENCE ON CONVERGENT TECHNOLOGIES FOR THE ASIA-PACIFIC REGION, VOLS 1-4, 2003, : 384 - 387
  • [7] Speaker Dependent Speech Emotion Recognition using MFCC and Support Vector Machine
    Dahake, Prajakta P.
    Shaw, Kailash
    Malathi, P.
    [J]. 2016 INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND DYNAMIC OPTIMIZATION TECHNIQUES (ICACDOT), 2016, : 1080 - 1084
  • [8] Text Dependent Speaker Recognition Study
    Xu, Hui-hong
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS, 2015, 15 : 136 - 139
  • [9] Experiments on the MFCC application in Speaker Recognition using Matlab
    Bhattarai, Kritagya
    Prasad, P. W. C.
    Alsadoon, Abeer
    Pham, L.
    Elchouemi, A.
    [J]. 2017 SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST2017), 2017, : 32 - 37
  • [10] Text Dependent Voice Recognition System using MFCC and VQ for Security Applications
    Kumar, Ashwin Nair Anil
    Muthukumaraswamy, Senthil Arumugam
    [J]. 2017 INTERNATIONAL CONFERENCE OF ELECTRONICS, COMMUNICATION AND AEROSPACE TECHNOLOGY (ICECA), VOL 2, 2017, : 130 - 136
12345