Prosodic focus control in reply speech generation for a spoken dialogue system of information retrieval

被引:2
|
作者
Kiriyama, S [1 ]
Hirose, K [1 ]
Minematsu, N [1 ]
机构
[1] Shizuoka Univ, Fac Informat, Hamamatsu, Shizuoka 4328011, Japan
关键词
D O I
10.1109/WSS.2002.1224393
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A spoken dialogue system of information retrieval on academic documents has been developed with a special attention to reply speech generation. In order to realize speech reply with its prosodic features properly controlled to express dialogue focuses, a scheme was developed to directly generating speech reply from reply content. When developing the system firstly, a priority was placed on the automatic processing, and prosodic focus was controlled by rather simple rules (original rules). Based on the listening test for the reply speech generated using original rules, new rules were then developed. Through the further listening test, the rules were revised and called the revised rules. The validity of the revised rules was verified through an evaluation experiment. It was also indicated that there existed users' preferences on the intonation of the reply speech.
引用
收藏
页码:139 / 142
页数:4
相关论文
共 50 条
  • [31] Analysis of acoustic-prosodic features related to paralinguistic information carried by interjections in dialogue speech
    Ishi, Carlos T.
    Ishiguro, Hiroshi
    Hagita, Norihiro
    12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5, 2011, : 3140 - +
  • [32] Evaluating speech recognition in the context of a spoken dialogue system: Critical error rate
    Damnati, G
    ASRU 2001: IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING, CONFERENCE PROCEEDINGS, 2001, : 280 - 283
  • [33] Error-correction detection and response generation in a spoken dialogue system
    Bulyko, I
    Kirchhoff, K
    Ostendorf, M
    Goldberg, J
    SPEECH COMMUNICATION, 2005, 45 (03) : 271 - 288
  • [34] A spoken dialogue system for enabling information behavior of various intention levels
    Takatsu H.
    Fukuoka I.
    Fujie S.
    Transactions of the Japanese Society for Artificial Intelligence, 2018, 33 (01)
  • [35] MIMIC: An adaptive mixed initiative spoken dialogue system for information queries
    Chu-Carroll, J
    6TH APPLIED NATURAL LANGUAGE PROCESSING CONFERENCE/1ST MEETING OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE AND PROCEEDINGS OF THE ANLP-NAACL 2000 STUDENT RESEARCH WORKSHOP, 2000, : 97 - 104
  • [36] Spoken Dialogue System Based on Information Extraction from Web Text
    Yoshino, Koichiro
    Kawahara, Tatsuya
    SPOKEN DIALOGUE SYSTEMS FOR AMBIENT ENVIRONMENTS, 2010, 6392 : 196 - 197
  • [37] STIS: a chinese spoken dialogue system about Shanghai transportation information
    Mao, JJ
    Chen, QL
    Gao, F
    Guo, R
    Lu, RZ
    2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2, 2003, : 65 - 68
  • [38] Spoken Conversational Search: Information Retrieval over a Speech-only Communication Channel
    Trippas, Johanne R.
    SIGIR 2015: PROCEEDINGS OF THE 38TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2015, : 1067 - 1067
  • [39] An architecture for rapid retrieval of structured information using speech with application to spoken address recognition
    Venkataraman, A
    Franco, H
    Myers, G
    ASRU'03: 2003 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING ASRU '03, 2003, : 459 - 464
  • [40] A dialogue manager for a WWW-based information retrieval system
    Quaresma, P
    Rodrigues, IP
    FLEXIBLE QUERY ANSWERING SYSTEMS: RECENT ADVANCES, 2001, : 592 - 601