user

The speech recognition system based on bark wavelet MFCC

被引：0
|
作者：
Zhang, Xue-ying [1 ]
Bai, Jing [1 ]
Liang, Wu-zhou [1 ]
机构：
[1] Taiyuan Univ Technol, Coll Informat Engn, Taiyuan 030024, Shanxi, Peoples R China
来源：
2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4 | 2006年
关键词：
bark wavelet; speech recognition; MFCC;
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：
Bark wavelet is a new wavelet which is especially designed for speech signal. Its base function satisfies time and bandwidth product least. Moreover, the Bark wavelet divides frequency band based on auditory model. This paper uses Bark wavelet in MFCC. It was used to make preprocessing before FFT. On the other hand, it was used to instead of DCT in MFCC for overcoming the DCT's disadvantage of fixed time-frequency resolution. Thus, a kind of good anti-noisy speech feature coefficient was obtained. Experimental results of speech recognition demonstrate that this new feature is more robust than the MFCC feature in noise environment and large vocabulary.
引用
收藏
页码：780 / +
页数：2
相关论文
共 50 条
  • [1] The Application of Adaptively Enhanced Bark Wavelet MFCC and The Introduction of A Novel Noise-robust Speech Recognition System
    Zheng Yu-Zheng
    Li Go-Liang
    Zhang Jie
    Liu Xiao-ying
    PROCEEDINGS OF 2009 INTERNATIONAL WORKSHOP ON INFORMATION SECURITY AND APPLICATION, 2009, : 168 - 172
  • [2] Multitapering and a wavelet variant of MFCC in speech recognition
    Ricotti, LP
    IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 2005, 152 (01): : 29 - 35
  • [3] Denoising Speech for MFCC Feature Extraction Using Wavelet Transformation in Speech Recognition System
    Hidayat, Risanuri
    Bejo, Agus
    Sumaryono, Sujoko
    Winursito, Anggun
    PROCEEDINGS OF 2018 THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE), 2018, : 280 - 284
  • [4] The speech recognition based on the bark wavelet and CZCPA features
    Zhang Xueying
    Bai Jing
    2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, : 318 - +
  • [5] Emotion Recognition in Speech Using MFCC and Wavelet Features
    Kishore, K. V. Krishna
    Satish, P. Krishna
    PROCEEDINGS OF THE 2013 3RD IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2013, : 842 - 847
  • [6] Bark wavelet transform of speech and its application in speech recognition
    Fu, Qiang
    Yi, Kechu
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2000, 28 (10): : 102 - 105
  • [7] The speech recognition based on the bark wavelet front-end processing
    Zhang, XY
    Jiao, ZP
    Zhao, ZF
    FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS, 2005, 3614 : 302 - 305
  • [8] An Improved Arithmetic of MFCC in Speech Recognition System
    Wu Junqin
    Yu Junjun
    2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 719 - 722
  • [9] Development of a MFCC-SVM Based Turkish Speech Recognition System
    Tombaloglu, Burak
    Erdem, Hamit
    2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU), 2016, : 929 - 932
  • [10] Speech Emotion Recognition Based on Improved MFCC
    Wang, Yan
    Hu, Weiping
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2018), 2018,
12345