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Exploiting multiple ASR outputs for a spoken language understanding task

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Exploiting multiple ASR outputs for a spoken language understanding task

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Calvo Lance, M.; García Granada, F.; Hurtado Oliver, LF.; Jiménez Serrano, S.; Sanchís Arnal, E. (2013). Exploiting multiple ASR outputs for a spoken language understanding task. En Speech and Computer. Springer Verlag (Germany). 8113:138-145. doi:10.1007/978-3-319-01931-4_19

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/38611

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Title: Exploiting multiple ASR outputs for a spoken language understanding task
Author: Calvo Lance, Marcos García Granada, Fernando Hurtado Oliver, Lluis Felip Jiménez Serrano, Santiago Sanchís Arnal, Emilio
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Issued date:
Abstract:
In this paper, we present an approach to Spoken Language Understanding, where the input to the semantic decoding process is a composition of multiple hypotheses provided by the Automatic Speech Recognition module. This ...[+]
Subjects: Combination of multiple outputs , Graph of words , Graph of concepts , Spoken Language Understanding
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-319-01930-7
Source:
Speech and Computer. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-01931-4_19
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007/978-3-319-01931-4_19
Conference name: 15th International Conference, SPECOM 2013
Conference place: Pilsen, Czech Republic
Conference date: September 1-5, 2013
Series: Lecture Notes in Computer Science;
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-01931-4_19
Thanks:
This work is partially supported by the Spanish MICINN under contract TIN2011-28169-C05-01, and under FPU Grant AP2010-4193
Type: Capítulo de libro

References

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Tür, G., Mori, R.D.: Spoken Language Understanding: Systems for Extracting Semantic Information from Speech, 1st edn. Wiley (2011)

Fiscus, J.G.: A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER). In: Proceedings of the 1997 IEEE Workshop on Automatic Speech Recognition and Understanding, pp. 347–354. IEEE (1997)

Larkin, M.A., Blackshields, G., Brown, N.P., Chenna, R., McGettigan, P.A., McWilliam, H., Valentin, F., Wallace, I.M., Wilm, A., Lopez, R., Thompson, J.D., Gibson, T.J., Higgins, D.G.: ClustalW and ClustalX version 2.0. Bioinformatics 23, 2947–2948 (2007)

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Calvo, M., Hurtado, L.-F., García, F., Sanchís, E.: A Multilingual SLU System Based on Semantic Decoding of Graphs of Words. In: Torre Toledano, D., Ortega Giménez, A., Teixeira, A., González Rodríguez, J., Hernández Gómez, L., San Segundo Hernández, R., Ramos Castro, D. (eds.) IberSPEECH 2012. CCIS, vol. 328, pp. 158–167. Springer, Heidelberg (2012)

Hakkani-Tür, D., Béchet, F., Riccardi, G., Tür, G.: Beyond ASR 1-best: Using word confusion networks in spoken language understanding. Computer Speech & Language 20, 495–514 (2006)

Benedí, J.M., Lleida, E., Varona, A., Castro, M.J., Galiano, I., Justo, R., López de Letona, I., Miguel, A.: Design and acquisition of a telephone spontaneous speech dialogue corpus in Spanish: DIHANA. In: Proceedings of LREC 2006, Genoa, Italy, pp. 1636–1639 (2006)

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