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ICASSP
2010
IEEE

Comparing the contributions of context and prosody in text-independent dialog act recognition

13 years 3 months ago
Comparing the contributions of context and prosody in text-independent dialog act recognition
Automatic segmentation and classification of dialog acts (DAs; e.g., statements versus questions) is important for spoken language understanding (SLU). While most systems have relied on word and word boundary information, interest in privacy-sensitive applications and non-ASR-based processing requires an approach that is text-independent. We propose a framework for employing both speech/non-speech-based (“contextual”) features and prosodic features, and apply it to DA segmentation and classification in multiparty meetings. We find that: (1) contextual features are better for recognizing turn edge DA types and DA boundary types, while prosodic features are better for finding floor mechanisms and backchannels; (2) the two knowledge sources are complementary for most of the DA types studied; and (3) the performance of the resulting system approaches that achieved using oracle lexical information for several DA types. These results suggest that there is significant promise in te...
Kornel Laskowski, Elizabeth Shriberg
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where ICASSP
Authors Kornel Laskowski, Elizabeth Shriberg
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