A Feature Compensation Approach Using High-Order Vector Taylor Series Approximation of an Explicit Distortion Model for Noisy Speech Recognition

被引：0
|
作者：
Du, Jun [1 ]
Huo, Qiang [1 ]
机构：
[1] Microsoft Res Asia, Beijing, Peoples R China
来源：
INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 | 2008年
关键词：
robust speech recognition; feature compensation; vector Taylor series; distortion model;
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 feature compensation approach to noisy speech recognition by using high-order vector Taylor series (HOVTS) approximation of an explicit model of environmental distortions. Formulations for maximum likelihood (ML) estimation of noise model parameters and minimum mean-squared error (MMSE) estimation of clean speech are derived. Experimental results on Aurora2 database demonstrate that the proposed approach achieves consistently significant improvement in recognition accuracy compared to traditional first-order VTS based feature compensation approach.
引用
收藏
页码：1257 / 1260
页数：4
相关论文
共 50 条
  • [21] NOISE ADAPTIVE TRAINING USING A VECTOR TAYLOR SERIES APPROACH FOR NOISE ROBUST AUTOMATIC SPEECH RECOGNITION
    Kalinli, Ozlem
    Seltzer, Michael L.
    Acero, Alex
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 3825 - 3828
  • [22] Insufficiency of chemical network model integration using a high-order Taylor series method
    Brown R.M.
    Journal of Applied Mathematics and Computing, 2010, 33 (1-2) : 83 - 102
  • [23] A new algorithm using improved Vector Taylor Series for robust speech recognition
    Li, YY
    Li, B
    Wang, CY
    Tang, CJ
    2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS, 2003, : 1146 - 1150
  • [24] Model compensation approach based on nonuniform spectral compression features for noisy speech recognition
    Ning, Geng-Xin
    Wei, Gang
    Chu, Kam-Keung
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2007, 2007 (1)
  • [25] On the Jointly Unsupervised Feature Vector Normalization and Acoustic Model Compensation for Robust Speech Recognition
    Buera, Luis
    Miguel, Antonio
    Lleida, Eduardo
    Saz, Oscar
    Ortega, Alfonso
    INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4, 2007, : 1381 - 1384
  • [26] Model Compensation Approach Based on Nonuniform Spectral Compression Features for Noisy Speech Recognition
    Geng-Xin Ning
    Gang Wei
    Kam-Keung Chu
    EURASIP Journal on Advances in Signal Processing, 2007
  • [27] Robust Speech Recognition Using Improved Vector Taylor Series Algorithm for Embedded Systems
    Lue, Yong
    Wu, Haiyang
    Wu, Zhenyang
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2010, 56 (02) : 764 - 769
  • [28] Stochastic Vector Mapping-based Feature Enhancement Using Prior Model and Environment Adaptation for Noisy Speech Recognition
    Hsieh, Chia-Hsin
    Wu, Chung-Hsien
    Lin, Jun-Yu
    INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5, 2006, : 29 - 32
  • [29] Multi-environment model adaptation based on vector Taylor series for robust speech recognition
    Lue, Yong
    Wu, Haiyang
    Zhou, Lin
    Wu, Zhenyang
    PATTERN RECOGNITION, 2010, 43 (09) : 3093 - 3099
  • [30] Human action recognition using high-order feature of optical flows
    Xia, Limin
    Ma, Wentao
    JOURNAL OF SUPERCOMPUTING, 2021, 77 (12): : 14230 - 14251
12345