Wavelet feature selection based neural networks with application to the text independent speaker identification

被引：14
|
作者：
Lung, SY [1 ]
机构：
[1] China Univ Technol, Dept Management Informat Syst, Taipei, Taiwan
来源：
PATTERN RECOGNITION | 2006年 / 39卷 / 08期
关键词：
fuzzy; speaker recognition; wavelet packets; neural network;
D O I：
10.1016/j.patcog.2006.02.004
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A wavelet packets feature selection derived by using neuro-fuzzy evaluation index for speaker identification is described. The concept of a flexible membership function incorporating weighed distance is introduced in the evaluation index to make the modeling of clusters more appropriate. Experimental evaluation of the systems performance was conducted on three speech databases. Our results have shown that this feature selection introduced better performance than the wavelet features with respect to the percentages of recognition. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1518 / 1521
页数：4
相关论文
共 50 条
  • [31] Speaker identification using Dynamic Synapse based neural networks and adaptive wavelet processing
    George, S
    Dibazar, A
    Liaw, J
    Berger, TW
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 4018 - 4018
  • [32] Text-Independent Speaker Identification with Glottal Flow and 1D Convolutional Neural Networks
    Camarena-Ibarrola, Antonio
    Ruiz-Gaona, Erick
    Figueroa, Karina
    PATTERN RECOGNITION, MCPR 2024, 2024, 14755 : 287 - 296
  • [33] Multi-feature Fusion for Closed Set Text Independent Speaker Identification
    Verma, Gyanendra K.
    INFORMATION INTELLIGENCE, SYSTEMS, TECHNOLOGY AND MANAGEMENT, 2011, 141 : 170 - 179
  • [34] Binary quantization of feature vectors for robust text-independent speaker identification
    Yuan, ZX
    Xu, BL
    Yu, CZ
    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 1999, 7 (01): : 70 - 78
  • [35] Text-independent speaker identification
    Gish, Herbert
    Schmidt, Michael
    IEEE SIGNAL PROCESSING MAGAZINE, 1994, 11 (04) : 18 - 32
  • [36] Text-Independent Speaker Verification Based on Deep Neural Networks and Segmental Dynamic TimeWarping
    Adel, Mohamed
    Afify, Mohamed
    Gaballah, Akram
    Fayek, Magda
    2018 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY (SLT 2018), 2018, : 1001 - 1006
  • [37] Research on text-independent speaker recognition methods using wavelet neural network
    Bai, Ying
    Zhao, Zhen-Dong
    Qi, Yin-Cheng
    Wang, Bin
    Guo, Jian-Yong
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2006, 28 (06): : 1036 - 1039
  • [38] Feature selection using genetics-based algorithm and its application to speaker identification
    METU, Ankara, Turkey
    ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, (329-332):
  • [39] Feature selection using singular value decomposition and QR factorization with column pivoting for text-independent speaker identification
    Chakroborty, Sandipan
    Saha, Goutam
    SPEECH COMMUNICATION, 2010, 52 (09) : 693 - 709
  • [40] Feature selection using genetics-based algorithm and its application to speaker identification
    Demirekler, M
    Haydar, A
    ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 1999, : 329 - 332
12345