Enhancement of electronic artificial larynx speech by denoising

被引:0
|
作者
Niu, HJ [1 ]
Wan, MX [1 ]
Wang, SP [1 ]
机构
[1] Xian Jiaotong Univ, Dept Biomed Engn, Sch Life Sci & Technol, Xian 710049, ShaanXi, Peoples R China
关键词
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
Electronic artificial larynx (EAL) is important speech rehabilitation prosthesis for laryngectomees. However, existing EAL have some drawbacks such as harsh, raucous and unpleasant sound. One of the major problems is radiation-noise. It is a major source of the degradation in acceptability and intelligibility of EAL speech. In this study, we restrained radiated noise using independent component analysis based adaptive noise canceling. An acoustic analysis of the denoised EAL speech revealed a significant reduction in the amount of background noise yet preserved the acoustic characteristics of the vocal output. Perceptual evaluation also indicated an obvious preference for denoised speech.
引用
收藏
页码:908 / 911
页数:4
相关论文
共 50 条
  • [31] Dual Channel Coherence Based Speech Enhancement with Wavelet Denoising
    Bagekar, Snehal
    Tank, Vanita
    PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2018, : 1826 - 1830
  • [32] Speech denoising algorithm and artificial intelligence application in network security
    Wang, Lei
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2022, 22 (06) : 2243 - 2255
  • [33] COMPUTER SIMULATION OF BASILAR MEMBRANE MOTION AND ELECTRONIC ARTIFICIAL LARYNX
    FLANAGAN, JL
    IEEE SPECTRUM, 1965, 2 (03) : 46 - &
  • [34] THE EFFECTIVENESS OF ELECTRONIC LARYNX FOR SPEECH REHABILITATION OF LARINGECTOMIZED PATIENTS: A REVIEW OF THE LITERATURE
    Biz, A. N.
    Santos, M.
    Senna, K.
    VALUE IN HEALTH, 2018, 21 : S246 - S246
  • [35] Research on adaptive artificial intelligence algorithm in signal denoising and enhancement
    Mao, Zhequn
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [36] Speech Enhancement using a Wiener denoising technique and musical noise reduction
    Alam, Md. Jahangir
    Selouani, Sid-Ahmed
    O'Shaughnessy, Douglas
    Ben Jebara, Sofia
    INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5, 2008, : 407 - +
  • [37] Improving Denoising Auto-encoder Based Speech Enhancement With the Speech Parameter Generation Algorithm
    Wang, Syu-Siang
    Hwang, Hsin-Te
    Lai, Ying-Hui
    Tsao, Yu
    Lu, Xugang
    Wang, Hsin-Min
    Su, Borching
    2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2015, : 365 - 369
  • [38] Bone-conducted speech enhancement using deep denoising autoencoder
    Liu, Hung-Ping
    Tsao, Yu
    Fuh, Chiou-Shann
    SPEECH COMMUNICATION, 2018, 104 : 106 - 112
  • [39] Assessment of Self-Supervised Denoising Methods for Esophageal Speech Enhancement
    Amarjouf, Madiha
    Ibn Elhaj, El Hassan
    Chami, Mouhcine
    Ezzine, Kadria
    Di Martino, Joseph
    APPLIED SCIENCES-BASEL, 2024, 14 (15):
  • [40] Speech enhancement denoising algorithm based on parameters estimation and perception improvement
    Wang J.
    Yin D.
    Jiang S.
    Yang L.
    Xie X.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2016, 38 (01): : 174 - 179