Ponencia
New Technique to Enhance the Performance of Spoken Dialogue Systems by Means of Implicit Recovery of ASR Errors
Autor/es | López Cózar, Ramón
Griol, David Quesada Moreno, José Francisco |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2010 |
Fecha de depósito | 2019-06-10 |
Publicado en |
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ISBN/ISSN | 978-3-642-16201-5 0302-9743 |
Resumen | This paper proposes a new technique to implicitly correct some ASR
errors made by spoken dialogue systems, which is implemented at two levels:
statistical and linguistic. The goal of the former level is to employ for the ... This paper proposes a new technique to implicitly correct some ASR errors made by spoken dialogue systems, which is implemented at two levels: statistical and linguistic. The goal of the former level is to employ for the correction knowledge extracted from the analysis of a training corpus comprised of utterances and their corresponding ASR results. The outcome of the analysis is a set of syntactic-semantic models and a set of lexical models, which are optimally selected during the correction. The goal of the correction at the linguistic level is to repair errors not detected during the statistical level which affects the semantics of the sentences. Experiments carried out with a previouslydeveloped spoken dialogue system for the fast food domain indicate that the technique allows enhancing word accuracy, spoken language understanding and task completion by 8.5%, 16.54% and 44.17% absolute, respectively. |
Identificador del proyecto | TIN2007-64718 |
Cita | López Cózar, R., Griol, D. y Quesada Moreno, J.F. (2010). New Technique to Enhance the Performance of Spoken Dialogue Systems by Means of Implicit Recovery of ASR Errors. En IWSDS 2010: Second International Workshop on Spoken Dialogue Systems Technology (96-109), Shizuoka, Japan: Springer. |
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