Parallel Training of Neural Networks for Speech Recognition

被引：0
|
作者：
Vesely, Karel [1 ]
Burget, Lukas [1 ]
Grezl, Frantisek [1 ]
机构：
[1] Brno Univ Technol, Speech FIT, Brno 61266, Czech Republic
来源：
TEXT, SPEECH AND DIALOGUE | 2010年 / 6231卷
关键词：
neural network; phoneme classification; posterior features; backpropagation training; data parallelization;
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：
The feed-forward multi-layer neural networks have significant importance in speech recognition. A new parallel-training tool TNet was designed and optimized for multiprocessor computers. The training acceleration rates are reported on a phoneme-state classification task.
引用
收藏
页码：439 / 446
页数：8
相关论文
共 50 条
  • [31] Speech Recognition Using Scaly Neural Networks
    Othman, Akram M.
    Riadh, May H.
    PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 28, 2008, 28 : 253 - +
  • [32] Application of Neural Networks in Emotional Speech Recognition
    Bojanic, Milana
    Crnojevic, Vladimir
    Delic, Vlado
    ELEVENTH SYMPOSIUM ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING (NEUREL 2012), 2012,
  • [33] Speech Recognition Based on Convolutional Neural Networks
    Du Guiming
    Wang Xia
    Wang Guangyan
    Zhang Yan
    Li Dan
    2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP), 2016, : 708 - 711
  • [34] APPLICATION OF NEURAL NETWORKS IN WHISPERED SPEECH RECOGNITION
    Grozdic, Dorde T.
    Markovic, Branko
    Galic, Jovan
    Jovicic, Slobodan T.
    2012 20TH TELECOMMUNICATIONS FORUM (TELFOR), 2012, : 728 - 731
  • [35] Hidden Neural Networks: Application to speech recognition
    Riis, SK
    PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6, 1998, : 1117 - 1120
  • [36] Emotion recognition in speech using neural networks
    Nicholson, J
    Takahashi, K
    Nakatsu, R
    AFFECTIVE MINDS, 2000, : 215 - 220
  • [37] Continuous speech recognition by convolutional neural networks
    Zhang, Qing-Qing
    Liu, Yong
    Pan, Jie-Lin
    Yan, Yong-Hong
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2015, 37 (09): : 1212 - 1217
  • [38] DEEP MAXOUT NEURAL NETWORKS FOR SPEECH RECOGNITION
    Cai, Meng
    Shi, Yongzhe
    Liu, Jia
    2013 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING (ASRU), 2013, : 291 - 296
  • [39] Deep Neural Networks in Russian Speech Recognition
    Markovnikov, Nikita
    Kipyatkova, Irina
    Karpov, Alexey
    Filchenkov, Andrey
    ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE, 2018, 789 : 54 - 67
  • [40] Convolutional Neural Networks for Distant Speech Recognition
    Swietojanski, Pawel
    Ghoshal, Arnab
    Renals, Steve
    IEEE SIGNAL PROCESSING LETTERS, 2014, 21 (09) : 1120 - 1124
12345