Abstract
In this paper, prosody-based attitude recognition and its application to a spoken dialog system are proposed. Paralinguistic information plays a important role in the human communication. We aimed to recognize the user's attitude by prosody, and apply it to a spoken dialog system as para-linguistic information. In order to find important features to recognize the attitude from automatically extracted features, we applied some feature selection methods. Experimental results show the stepwise method, a combination of the forward selection method and the backward selection method, achieved the best recognition rate. Finally, the dialog system using the recognition results as para-linguistic information is shown.
| Original language | English |
|---|---|
| Title of host publication | 8th International Conference on Spoken Language Processing, ICSLP 2004 |
| Publisher | International Speech Communication Association |
| Pages | 2841-2844 |
| Number of pages | 4 |
| Publication status | Published - 2004 |
| Event | 8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of Duration: 2004 Oct 4 → 2004 Oct 8 |
Other
| Other | 8th International Conference on Spoken Language Processing, ICSLP 2004 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju, Jeju Island |
| Period | 04/10/4 → 04/10/8 |
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language
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Cite this
Fujie, S., Yagi, D., Kikuchi, H., & Kobayashi, T. (2004). Prosody based attitude recognition with feature selection and its application to spoken dialog system as para-linguistic information. In 8th International Conference on Spoken Language Processing, ICSLP 2004 (pp. 2841-2844). International Speech Communication Association.