A probabilistic union model for sub-band based robust speech recognition

被引：0
|
作者：
Ming, J [1 ]
Smith, FJ [1 ]
机构：
[1] Queens Univ Belfast, Sch Comp Sci, Belfast BT7 1NN, Antrim, North Ireland
来源：
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI | 2000年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
A new statistical model is proposed for combining sub-band observations for robust speech recognition. This model characterizes the randomly corrupted sub-bands based on the union of random events. The new model has been incorporated into a hidden Markov model (HMM) and tested for recognizing a speaker-independent E-set, corrupted by various types of frequency-selective noise with unknown, time-varying statistics. The results show that the new model offers robustness to partial frequency corruption, requiring little or no knowledge about the noise characteristics.
引用
收藏
页码：1787 / 1790
页数：4
相关论文
共 50 条
  • [1] Sub-band based recognition of noisy speech
    Tibrewala, S
    Hermansky, H
    [J]. 1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 1255 - 1258
  • [2] Sub-band speech recognition
    Primor, D
    Furst-Yust, M
    [J]. 22ND CONVENTION OF ELECTRICAL AND ELECTRONICS ENGINEERS IN ISRAEL, PROCEEDINGS, 2002, : 10 - 12
  • [3] Sub-band level Histogram Equalization for Robust Speech Recognition
    Joshi, Vikas
    Bilgi, Raghavendra
    Umesh, S.
    Garcia, L.
    Benitez, C.
    [J]. 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5, 2011, : 1672 - +
  • [4] Maximum likelihood sub-band adaptation for robust speech recognition
    Zhu, DL
    Nakamura, S
    Paliwal, KK
    Wang, RH
    [J]. SPEECH COMMUNICATION, 2005, 47 (03) : 243 - 264
  • [5] Mel Sub-Band Filtering and Compression for Robust Speech Recognition
    Nasersharif, Babak
    Akbari, Ahmad
    Homayounpour, Mohammad Mehdi
    [J]. INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4, 2007, : 105 - +
  • [6] Sub-band Modulation Spectrum Compensation for Robust Speech Recognition
    Tu, Wen-hsiang
    Huang, Sheng-Yuan
    Hung, Jeih-weih
    [J]. 2009 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION & UNDERSTANDING (ASRU 2009), 2009, : 261 - 265
  • [7] Modeling sub-band correlation for noise-robust speech recognition
    McAuley, J
    Ming, J
    Hanna, P
    Stewart, D
    [J]. 2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PROCEEDINGS: SPEECH PROCESSING, 2004, : 1017 - 1020
  • [8] Sub-band weighted projection measure for sub-band speech recognition in noise
    Nasersharif, B.
    Akbari, A.
    [J]. ELECTRONICS LETTERS, 2006, 42 (14) : 829 - 831
  • [9] Union: A new approach for combining sub-band observations for noisy speech recognition
    Ming, J
    Smith, FJ
    [J]. SPEECH COMMUNICATION, 2001, 34 (1-2) : 41 - 55
  • [10] Microphone array sub-band speech recognition
    McCowan, IA
    Sridharan, S
    [J]. 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, 2001, : 185 - 188
12345