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/Territory | Korea, Republic of |
City | Jeju, Jeju Island |
Period | 04/10/4 → 04/10/8 |
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language