Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
| Paper: | SP-P4.5 |
| Session: | Topics in Speech Understanding Systems |
| Time: | Tuesday, May 18, 15:30 - 17:30 |
| Presentation: |
Poster |
| Topic: |
Speech Processing: Spoken Language Systems and Dialog |
| Title: |
AUTOMATIC LEARNING OF INTERPRETATION STRATEGIES FOR SPOKEN DIALOGUE SYSTEMS |
| Authors: |
Christian Raymond; CNRS / University of Avignon | | |
| | Frédéric Béchet; CNRS / University of Avignon | | |
| | Renato De Mori; CNRS / University of Avignon | | |
| | Géraldine Damnati; France Télécom R&D | | |
| | Yannick Estève; Université du Maine | | |
| Abstract: |
This paper proposes a new application of automatically trained decision trees to derive the interpretation of a spoken sentence. A new strategy for building structured cohorts of candidates is also described. By evaluating predicates related to the acoustic confidence of the words expressing a concept, the linguistic and semantic consistency of candidates in the cohort and the rank of a candidate within a cohort, the decision tree automatically learn a decision strategy for rescoring or rejecting a n-best list of candidates representing a user's utterance. A relative reduction of 18.6% in the Understanding Error Rate is obtained by our rescoring strategy with no utterance rejection and a relative reduction of 43.1% of the same error rate is achieve with a rejection rate of only 8% of the utterances. |
| |
| Back | |