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A probabilistic approach to the interpretation of spoken utterances (2008)
| Content Provider | CiteSeerX |
|---|---|
| Author | Zukerman, Ingrid Makalic, Enes Niemann, Michael George, Sarah |
| Abstract | In this paper we describe Scusi?, the speech interpretation component of a spoken dialogue module designed for an autonomous robotic agent. Scusi? postulates and maintains multiple interpretations of the spoken discourse, and employs a probabilistic formalism to assess and rank hypotheses regarding the meaning of spoken utterances. These constituents in combination enable Scusi? to cope gracefully with ambiguity and speech recognition errors. The results of our evaluation are encouraging, yielding good interpretation performance for utterances of different types and lengths. |
| File Format | |
| Language | English |
| Publisher Date | 2008-01-01 |
| Publisher Institution | FACULTY OF INFORMATION TECHNOLOGY, MONASH |
| Access Restriction | Open |
| Subject Keyword | Spoken Utterance Probabilistic Approach Speech Interpretation Component Probabilistic Formalism Multiple Interpretation Good Interpretation Performance Different Type Speech Recognition Error Combination Enable Scusi Spoken Dialogue Module Autonomous Robotic Agent Spoken Discourse |
| Content Type | Text |
| Resource Type | Technical Report |
