ONLINE DETECTION OF VOCAL LISTENER RESPONSES WITH MAXIMUM LATENCY CONSTRAINTS
Audio/Visual Detection of Non-Linguistic Vocal Outbursts
Přednášející: Daniel Neiberg, Autoři: Daniel Neiberg, KTH - Royal Institute of Technology, Sweden; Khiet P. Truong, University of Twente, Netherlands
When human listeners utter Listener Responses (e.g. back-channels or acknowledgments) such as `yeah' and `mmhmm', interlocutors commonly continue to speak or resume their speech even before the listener has finished his/her response. This type of speech interactivity results in frequent speech overlap which is common in human-human conversation. To allow for this type of speech interactivity to occur between humans and spoken dialog systems, which will result in more human-like continuous and smoother human-machine interaction, we propose an on-line classifier which can classify incoming speech as Listener Responses. We show that it is possible to detect vocal Listener Responses using maximum latency thresholds of 100-500 ms, thereby obtaining equal error rates ranging from 34% to 28% by using an energy based voice activity detector.
Informace o přednášce
| Nahráno: | 2011-05-25 14:25 - 14:45, Club D |
|---|---|
| Přidáno: | 20. 6. 2011 00:17 |
| Počet zhlédnutí: | 22 |
| Rozlišení videa: | 1024x576 px, 512x288 px |
| Délka videa: | 0:11:42 |
| Audio stopa: | MP3 [3.91 MB], 0:11:42 |
Příbuzné přednášky
0:16:33
PROCESSING ‘YUP!’ AND OTHER SHORT UTTERANCES IN INTERACTIVE SPEECH
Audio/Visual Detection of Non-Linguistic Vocal Outbursts
Přidáno: 19. 6. 2011 17:06
0:19:47
LOCALIZATION OF NON-LINGUISTIC EVENTS IN SPONTANEOUS SPEECH BY NON-NEGATIVE MATRIX FACTORIZATION AND LONG SHORT-TERM MEMORY
Audio/Visual Detection of Non-Linguistic Vocal Outbursts
Přidáno: 19. 6. 2011 17:19
Komentáře