A speech endpoint detection algorithm based on entropy and RBF neural network

被引：0
|
作者：
Zhang, Xueying [1 ]
Li, Gaoyun [1 ]
Qiao, Feng [1 ]
机构：
[1] Taiyuan Univ Technol, Coll Informat Engn, Taiyuan 030024, Shanxi, Peoples R China
来源：
GRC: 2007 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, PROCEEDINGS | 2007年
关键词：
amplitude entropy; neural network; speech endpoint detection; spectral entropy;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Speech endpoint detection is an important step in the field of speech analysis, speech synthesis and speech recognition. This paper proposed an endpoint detection algorithm, which used amplitude entropy, spectral entropy and frame energy as feature parameters and utilized RBF neural network as a feature classification system. 170 sentences are used as testing data to detect speech endpoint, which length is from 4 second to 7 second. The experiments show that the testing results using RBF neural network are better than that using entropy alone or BP neural network based on entropy.
引用
收藏
页码：506 / 509
页数：4
相关论文
共 50 条
  • [21] Design of RBF neural network based on SAPSO algorithm
    Zhang W.
    Huang W.-M.
    Kongzhi yu Juece/Control and Decision, 2021, 36 (09): : 2305 - 2312
  • [22] Fuzzy Neural Networks for Speech Endpoint Detection
    Wu, Gin-Der
    Zhu, Zhen-Wei
    Li, An-Tai
    2012 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY2012), 2012, : 354 - 356
  • [23] An intrusion detection system based on RBF neural network
    Yang, ZM
    Wei, XM
    Bi, LY
    Shi, DP
    Li, H
    PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOLS 1 AND 2, 2005, : 873 - 875
  • [24] Intrusion detection based on adaptive RBF neural network
    Zhong, Jiang
    Li, Zhiguo
    Feng, Yong
    Ye, Cunxiao
    ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2, 2006, : 1081 - +
  • [25] Speech Endpoint Detection Algorithm for Uyghur Based on Acoustic Frequency Feature
    Yang, Yating
    Ma, Bo
    Turghun, Osman
    Li, Xiao
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 553 - 556
  • [26] Noise-Robust Speech Recognition Based on RBF Neural Network
    Hou, Xuemei
    HIGH PERFORMANCE STRUCTURES AND MATERIALS ENGINEERING, PTS 1 AND 2, 2011, 217-218 : 413 - 418
  • [27] A Growing Algorithm for RBF Neural Network
    Han Honggui
    Qiao Junfei
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, 2009, 61 : 73 - 82
  • [28] Algorithm of wavelet RBF neural network
    Ding, XH
    Deng, SX
    Li, LL
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 3, 2002, : 756 - 760
  • [29] Singular value detection of genetic algorithm optimizing RBF neural network
    Li, Jia-Sheng
    Wang, Ying-De
    Tian, Wang-Lan
    Information Technology Journal, 2013, 12 (11) : 2201 - 2206
  • [30] An image restoration algorithm based on improved RBF neural network
    Zhao, Xuezhang
    Liu, Zhiyuan
    Xi, Yunjiang
    FRONTIERS OF ADVANCED MATERIALS AND ENGINEERING TECHNOLOGY, PTS 1-3, 2012, 430-432 : 1671 - +
12345