Analysis of HMM-Based Lombard Speech Synthesis

被引：0
|
作者：
Raitio, Tuomo [1 ]
Suni, Antti [2 ]
Vainio, Martti [2 ]
Alku, Paavo [1 ]
机构：
[1] Aalto Univ, Dept Signal Proc & Acoust, Helsinki, Finland
[2] Univ Helsinki, Dept Speech Sci, Helsinki, Finland
来源：
12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5 | 2011年
基金：
芬兰科学院;
关键词：
speech synthesis; HMM; Lombard effect; speech-in-noise;
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：
Humans modify their voice in interfering noise in order to maintain the intelligibility of their speech - this is called the Lombard effect This ability, however, has not been extensively modeled in speech synthesis. Here we compare several methods of synthesizing speech in noise using a physiologically based statistical speech synthesis system (GlottHMM). The results show that in a realistic street noise situation the synthetic Lombard speech is judged by listeners both as appropriate for the situation and as intelligible as natural Lombard speech. Of the different types of models, one using adaptation and extrapolation performed the best.
引用
收藏
页码：2792 / +
页数：2
相关论文
共 50 条
  • [21] Speaker interpolation for HMM-based speech synthesis system
    Yoshimura, Takayoshi, 2000, Acoustical Soc Jpn, Tokyo, Japan (21):
  • [22] Contextual Additive Structure for HMM-Based Speech Synthesis
    Takaki, Shinji
    Nankaku, Yoshihiko
    Tokuda, Keiichi
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2014, 8 (02) : 229 - 238
  • [23] Parameterization of Vocal Fry in HMM-Based Speech Synthesis
    Silen, Hanna
    Helander, Elina
    Nurminen, Jani
    Gabbouj, Moncef
    INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5, 2009, : 1735 - +
  • [24] An HMM-based speech synthesis system applied to English
    Tokuda, K
    Zen, H
    Black, AW
    PROCEEDINGS OF THE 2002 IEEE WORKSHOP ON SPEECH SYNTHESIS, 2002, : 227 - 230
  • [25] REACTIVE AND CONTINUOUS CONTROL OF HMM-BASED SPEECH SYNTHESIS
    Astrinaki, Maria
    d'Alessandro, Nicolas
    Picart, Benjamin
    Drugman, Thomas
    Dutoit, Thierry
    2012 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY (SLT 2012), 2012, : 252 - 257
  • [26] The Design and Implementation of HMM-based Dai Speech Synthesis
    Wang, Zhan
    Yang, Jian
    Yang, Xin
    2016 10TH INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING (ISCSLP), 2016,
  • [27] DIALOGUE CONTEXT SENSITIVE HMM-BASED SPEECH SYNTHESIS
    Tsiakoulis, Pirros
    Breslin, Catherine
    Gasic, Milica
    Henderson, Matthew
    Kim, Dongho
    Szummer, Martin
    Thomson, Blaise
    Young, Steve
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [28] Evaluation of the Slovenian HMM-based speech synthesis system
    Vesnicer, B
    Mihelic, F
    TEXT, SPEECH AND DIALOGUE, PROCEEDINGS, 2004, 3206 : 513 - 520
  • [29] HMM-based Tibetan Lhasa Speech Synthesis System
    Wu Zhiqiang
    Yu Hongzhi
    Li Guanyu
    Wan Shuhui
    2013 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), 2013, : 92 - 95
  • [30] Evaluation of speech unit modelling for HMM-based speech synthesis for Arabic
    Houidhek, Amal
    Colotte, Vincent
    Mnasri, Zied
    Jouvet, Denis
    INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY, 2018, 21 (04) : 895 - 906
12345