Belief Hidden Markov Model for Speech Recognition

被引：0
|
作者：
Jendoubi, Siwar [1 ]
Ben Yaghlane, Boutheina [2 ]
Martin, Arnaud [3 ]
机构：
[1] Univ Tunis, ISG Tunis, LARODEC Lab, Tunis, Tunisia
[2] Univ Carthage, IHEC Carthage, LARODEC Lab, Tunis, Tunisia
[3] Univ Rennes 1, IUT Lann, IRISA, UMR 6074, Rennes, France
来源：
2013 5TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO) | 2013年
关键词：
Speech recognition; HMM; Theory of belief functions; Belief HMM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Speech Recognition searches to predict the spoken words automatically. These systems are known to be very expensive because of using several pre-recorded hours of speech. Hence, building a model that minimizes the cost of the recognizer will be very interesting. In this paper, we present a new approach for recognizing speech based on belief HMMs instead of probabilistic HMMs. Experiments shows that our belief recognizer is insensitive to the lack of the data and it can be trained using only one exemplary of each acoustic unit and it gives a good recognition rates. Consequently, using the belief HMM recognizer can greatly minimize the cost of these systems.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] Murmured Speech Recognition Using Hidden Markov Model
    Kumar, Rajesh T.
    Videla, Lakshmi Sarvani
    SivaKumar, Soubraylu
    Asalg, Gopala Gupta
    Haritha, D.
    [J]. 2020 7TH IEEE INTERNATIONAL CONFERENCE ON SMART STRUCTURES AND SYSTEMS (ICSSS 2020), 2020, : 53 - 57
  • [2] NEURAL PREDICTIVE HIDDEN MARKOV MODEL FOR SPEECH RECOGNITION
    TSUBOKA, E
    TAKADA, Y
    [J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 1995, E78D (06) : 676 - 684
  • [3] INTERFRAME DEPENDENT HIDDEN MARKOV MODEL FOR SPEECH RECOGNITION
    MING, J
    SMITH, FJ
    [J]. ELECTRONICS LETTERS, 1994, 30 (03) : 188 - 189
  • [4] Predictive hidden Markov model selection for speech recognition
    Chien, JT
    Furui, S
    [J]. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2005, 13 (03): : 377 - 387
  • [5] A DOMESTIC SPEECH RECOGNITION BASED ON HIDDEN MARKOV MODEL
    Tao, Jun
    Jiang, Xiaoxiao
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS, 2011, : 606 - 609
  • [6] Hidden Markov model-based speech emotion recognition
    Schuller, B
    Rigoll, G
    Lang, M
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SPEECH II; INDUSTRY TECHNOLOGY TRACKS; DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS; NEURAL NETWORKS FOR SIGNAL PROCESSING, 2003, : 1 - 4
  • [7] Partly Hidden Markov Model and its application to speech recognition
    Waseda Univ, Tokyo, Japan
    [J]. ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, (121-124):
  • [8] Partly hidden Markov model and its application to speech recognition
    Kobayashi, T
    Furuyama, J
    Masumitsu, K
    [J]. ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 1999, : 121 - 124
  • [9] DYNAMIC ADAPTATION OF HIDDEN MARKOV MODEL FOR ROBUST SPEECH RECOGNITION
    GAO, YQ
    CHEN, YB
    WU, BX
    [J]. 1989 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-3, 1989, : 1336 - 1339
  • [10] LARGE VOCABULARY HIDDEN MARKOV MODEL BASED SPEECH RECOGNITION
    RIGOLL, G
    [J]. EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS, 1990, 1 (01): : 37 - 42
12345