Endpoint detection of speech signal using neural network

被引：0
|
作者：
Hussain, A [1 ]
Samad, SA [1 ]
Fah, LB [1 ]
机构：
[1] Univ Kebangsaan Malaysia, Fac Engn, Dept Elect Elect & Syst Engn, Multimedia Signal Proc Res Grp, Bangi 43600, Malaysia
来源：
IEEE 2000 TENCON PROCEEDINGS, VOLS I-III: INTELLIGENT SYSTEMS AND TECHNOLOGIES FOR THE NEW MILLENNIUM | 2000年
关键词：
speech segmentation; speech recognition;
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 highlights the artificial neural network (ANN) approach to perform the endpoint detection process, which involves the segmentation of speech signals from non-speech signals. Two ANN models have been proposed to perform endpoint detections of isolated digit utterances spoken in the Malay Language: Multilayer Perceptron (MLP) and Adaptive Linear Network (ADALINE). Results obtained from the ANN models are acoustically verified, visually checked and compared to the conventional method of endpoint detection. It was found that the endpoint detection accuracy using the MLP approach is very high and encouraging.
引用
收藏
页码：271 / 274
页数：4
相关论文
共 50 条
  • [21] Endpoint detection of seismic signal using the statistic of noise
    Fan, W.C.
    Shi, R.
    Sun, Y.
    Qiu, H.M.
    Li, Z.F.
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2001, 35 (04): : 365 - 369
  • [22] SVM-based speech endpoint detection using contextual speech features
    Ramirez, J.
    Yelamos, R.
    Gorriz, J. M.
    Segura, J. C.
    ELECTRONICS LETTERS, 2006, 42 (07) : 426 - 428
  • [23] Analysis Text of Hate Speech Detection Using Recurrent Neural Network
    Saksesi, Arum Sucia
    Nasrun, Muhammad
    Setianingsih, Casi
    2018 INTERNATIONAL CONFERENCE ON CONTROL, ELECTRONICS, RENEWABLE ENERGY AND COMMUNICATIONS (ICCEREC), 2018, : 242 - 248
  • [24] Text Analysis For Hate Speech Detection Using Backpropagation Neural Network
    Setyadi, Nabiila Adani
    Nasrun, Muhammad
    Setianingsih, Casi
    2018 INTERNATIONAL CONFERENCE ON CONTROL, ELECTRONICS, RENEWABLE ENERGY AND COMMUNICATIONS (ICCEREC), 2018, : 159 - 165
  • [25] A Framework for Hate Speech Detection Using Deep Convolutional Neural Network
    Roy, Pradeep Kumar
    Tripathy, Asis Kumar
    Das, Tapan Kumar
    Gao, Xiao-Zhi
    IEEE ACCESS, 2020, 8 : 204951 - 204962
  • [26] Deep Convolutional Neural Network-based Speech Signal Enhancement Using Extensive Speech Features
    Garg, Anil
    Sahu, O. P.
    INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS, 2022, 19 (08)
  • [27] Signal detection with chaotic neural network
    Xiong, ZL
    Song, YL
    Liu, M
    Shi, XQ
    PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2, 2003, : 164 - 167
  • [28] Application of Wavelet Neural Network in Speech Signal Denoising
    Qi Ziyuan
    Chen Donggen
    Ni Lei
    ISTM/2011: 9TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, 2011, : 29 - 31
  • [29] A dynamic wavelet neural network for prediction of speech signal
    Wang, AH
    Sun, ZY
    Li, ZH
    Zhang, X
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 3524 - 3528
  • [30] Radar signal interpretation using neural network for defect detection in concrete
    Shoukry, SN
    Martinelli, D
    Varadarajan, ST
    Halabe, UB
    MATERIALS EVALUATION, 1996, 54 (03) : 393 - 397
12345