Deleted interpolation and density sharing for continuous hidden Markov models

被引:0
|
作者
Huang, XD [1 ]
Hwang, MY [1 ]
Jiang, L [1 ]
Mahajan, M [1 ]
机构
[1] MICROSOFT CORP,REDMOND,WA 98052
关键词
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
引用
收藏
页码:885 / 888
页数:4
相关论文
共 50 条
  • [1] Speaker and gender normalization for continuous-density hidden Markov models
    Acero, A
    Huang, XD
    1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, CONFERENCE PROCEEDINGS, VOLS 1-6, 1996, : 342 - 345
  • [2] UNDERDETERMINED BLIND SOURCE SEPARATION BASED ON CONTINUOUS DENSITY HIDDEN MARKOV MODELS
    Zhu, Xiaoming
    Parhi, Keshab K.
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 4126 - 4129
  • [3] A STUDY ON SPEAKER ADAPTATION OF THE PARAMETERS OF CONTINUOUS DENSITY HIDDEN MARKOV-MODELS
    LEE, CH
    LIN, CH
    JUANG, BH
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1991, 39 (04) : 806 - 814
  • [4] USE OF DIFFERENT NUMBERS OF MIXTURES IN CONTINUOUS DENSITY HIDDEN MARKOV-MODELS
    CHUNG, YJ
    UN, CK
    ELECTRONICS LETTERS, 1993, 29 (09) : 824 - 825
  • [5] AN EVIDENCE FRAMEWORK FOR BAYESIAN LEARNING OF CONTINUOUS-DENSITY HIDDEN MARKOV MODELS
    Zhang, Yu
    Liu, Peng
    Chien, Jen-Tzung
    Soong, Frank
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 3857 - +
  • [6] Asymmetric Hidden Markov Models with Continuous Variables
    Puerto-Santana, Carlos
    Bielza, Concha
    Larranaga, Pedro
    ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2018, 2018, 11160 : 98 - 107
  • [7] A Fast Online Algorithm for Large Margin Training of Continuous Density Hidden Markov Models
    Cheng, Chih-Chieh
    Sha, Fei
    Saul, Lawrence K.
    INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5, 2009, : 676 - +
  • [8] Nonparametric Density Estimation in Hidden Markov Models
    C.C.Y. Dorea
    L.C. Zhao
    Statistical Inference for Stochastic Processes, 2002, 5 (1) : 55 - 64
  • [9] Inference of Aggregate Hidden Markov Models With Continuous Observations
    Zhang, Qinsheng
    Singh, Rahul
    Chen, Yongxin
    IEEE CONTROL SYSTEMS LETTERS, 2022, 6 : 2377 - 2382
  • [10] Ergodic Continuous Hidden Markov Models for Workload Characterization
    Moro, Alessandro
    Mumolo, Enzo
    Nolich, Massimiliano
    2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009), 2009, : 103 - 108