Noise adaptive spoken dialog system based on selection of multiple dialog strategies

Akinori Ito, Takanobu Oba, Takashi Konashi, Motoyuki Suzuki, Shozo Makino

Research output: Contribution to conferencePaper

Abstract

Speech recognition under noisy environment is one of the hottest topic in the speech recognition research. In this paper, we propose a method to improve accuracy of spoken dialog system from a dialog strategy point of view. In the proposed method, the dialog system automatically changes its dialog strategy according to the estimated recognition accuracy in noisy environment in order to keep the performance of the system constant. In a noisy environment, the system restricts its grammar and vocabulary to improve recognition accuracy. On the other hand, the system accepts any utterance from a user in a noise-free environment. To realize this strategy, we investigated a method to avoid user's out-of-grammar utterances through an instruction given by the system to a user. Furthermore, we developed a method to estimate recognition accuracy from features extracted from noise signal. Finally, we constructed a proposed dialog system and confirmed its effectiveness.

Original languageEnglish
Pages193-196
Number of pages4
Publication statusPublished - 2004 Jan 1
Event8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of
Duration: 2004 Oct 42004 Oct 8

Other

Other8th International Conference on Spoken Language Processing, ICSLP 2004
CountryKorea, Republic of
CityJeju, Jeju Island
Period04/10/404/10/8

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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    Ito, A., Oba, T., Konashi, T., Suzuki, M., & Makino, S. (2004). Noise adaptive spoken dialog system based on selection of multiple dialog strategies. 193-196. Paper presented at 8th International Conference on Spoken Language Processing, ICSLP 2004, Jeju, Jeju Island, Korea, Republic of.