Name
Abstract | ||
|---|---|---|
This paper proposes a method to recognize anger-dialog based on linguistic and para-linguistic information in speech. Anger is classified into two types; Hot Anger (agitated) and Cold Anger (calm). Conventional prosody-features based on para-linguistic can reliably recognize the former but not the latter. To recognize anger more robustly, we apply other para-linguistic cues named dialog-features which are seen in conversational interactive situations between two speakers such as turn-taking and back-channel feedback. We also utilize linguistic-features which represent conversational emotional salience. They are acquired by Pearson's chi-square test by comparing the automatically-transcribed texts between angry and neutral dialogs. Experiments show that the proposed feature combination improves the F-measure of Cold Anger and HotAnger by 26.9 points and 16.1 points against a baseline that uses only prosody. |
Year | Venue | Keywords |
|---|---|---|
2011 | 12TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2011 (INTERSPEECH 2011), VOLS 1-5 | emotion recognition, anger, dialog speech, linguistic feature, call-center |
Field | DocType | Citations |
Rule-based machine translation,Spoken dialog,Computer science,Anger,Artificial intelligence,Natural language processing,Linguistics | Conference | 1 |
PageRank | References | Authors |
0.36 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Narichika Nomoto | 1 | 6 | 0.84 |
| Masafumi Tamoto | 2 | 28 | 4.41 |
| Hirokazu Masataki | 3 | 18 | 9.21 |
| Osamu Yoshioka | 4 | 29 | 5.66 |
| Satoshi Takahashi | 5 | 1 | 0.36 |