"pseudo-natural" Human-computer Dialog, Using a Speech Terminal
نویسندگان
چکیده
منابع مشابه
Mon.O2b.04 Learning When to Listen: Detecting System-Addressed Speech in Human-Human-Computer Dialog
New challenges arise for addressee detection when multiple people interact jointly with a spoken dialog system using unconstrained natural language. We study the problem of discriminating computer-directed from human-directed speech in a new corpus of human-human-computer (H-H-C) dialog, using lexical and prosodic features. The prosodic features use no word, context, or speaker information. Res...
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New challenges arise for addressee detection when multiple people interact jointly with a spoken dialog system using unconstrained natural language. We study the problem of discriminating computer-directed from human-directed speech in a new corpus of human-human-computer (H-H-C) dialog, using lexical and prosodic features. The prosodic features use no word, context, or speaker information. Res...
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