Speech Enhancement of Mobile Devices Based on the Integration of a Dual Microphone Array and a Background Noise Elimination Algorithm

被引:5
|
作者
Chen, Yung-Yue [1 ]
机构
[1] Natl Cheng Kung Univ, Dept Syst & Naval Mechatron Engn, Tainan 701, Taiwan
关键词
speech enhancement; estimator design; background noise reduction; mobile device; ROBUST ADAPTIVE BEAMFORMER;
D O I
10.3390/s18051467
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Mobile devices are often used in our daily lives for the purposes of speech and communication. The speech quality of mobile devices is always degraded due to the environmental noises surrounding mobile device users. Regretfully, an effective background noise reduction solution cannot easily be developed for this speech enhancement problem. Due to these depicted reasons, a methodology is systematically proposed to eliminate the effects of background noises for the speech communication of mobile devices. This methodology integrates a dual microphone array with a background noise elimination algorithm. The proposed background noise elimination algorithm includes a whitening process, a speech modelling method and an H-2 estimator. Due to the adoption of the dual microphone array, a low-cost design can be obtained for the speech enhancement of mobile devices. Practical tests have proven that this proposed method is immune to random background noises, and noiseless speech can be obtained after executing this denoise process.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Energy losing rate estimation based microphone array speech enhancement
    Department of Math and Computer Science, Sanming University, Fujian 365001, China
    不详
    Shengxue Xuebao, 2009, 3 (281-288):
  • [42] Speech enhancement using nonlinear microphone array based on complementary beamforming
    Saruwatari, H
    Kajita, S
    Takeda, K
    Itakura, F
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 1999, E82A (08) : 1501 - 1510
  • [43] Model-Based Post Filter for Microphone Array Speech Enhancement
    Xiong, Yan
    Chen, Qiang
    Deng, Shuxia
    Liang, Sheng
    Wang, Kailian
    Zhang, Jun
    Wang, Jie
    2018 7TH INTERNATIONAL CONFERENCE ON DIGITAL HOME (ICDH 2018), 2018, : 82 - 88
  • [44] Neural network based adaptive microphone array system for speech enhancement
    Grbic, N
    Dahl, M
    Claesson, I
    IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, 1998, : 2180 - 2183
  • [46] Coherence based dual microphone speech enhancement technique using FPGA
    Biswas, Tanmay
    Mandal, Sudhindu Bikash
    Saha, Debasri
    Chakrabarti, Amlan
    MICROPROCESSORS AND MICROSYSTEMS, 2017, 55 : 111 - 118
  • [47] Phase-based dual-microphone robust speech enhancement
    Aarabi, P
    Shi, G
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2004, 34 (04): : 1763 - 1773
  • [48] Microphone Array Speech Separation Algorithm Based on TC-ResNet
    Zhou, Lin
    Xu, Yue
    Wang, Tianyi
    Feng, Kun
    Shi, Jingang
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 69 (02): : 2705 - 2716
  • [49] A Binaural Speech Enhancement Algorithm Application to background and directional noise fields
    Fang, Yi
    Chen, Youyuan
    Feng, Haihong
    2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2015, : 1261 - 1265
  • [50] A noise cross PSD estimator for dual-microphone speech enhancement based on minimum statistics附视频
    Mohsen RAHMANI
    Ahmad AKBARI
    Beghdad AYAD
    Nima DERAKHSHAN
    Journal of Zhejiang University(Science A:An International Applied Physics & Engineering Journal), 2009, (06) : 805 - 809