Abstract
Up-to-date language modeling is recognized to be a critical aspect of maintaining the level of performance for a speech recognizer over time for most applications. In particular for applications such as transcription of broadcast news and conversations where the occurrence of new words is very frequent, especially for highly inflected languages like the European Portuguese. An unsupervised adaptation approach, which dynamically adapts the active vocabulary and language model during a multi-pass speech recognition process, is presented. Experimental results confirmed the adequacy of the proposed approaches. Experiments were carried out for a European Portuguese Broadcast News transcription system with the best preliminary results yielding a relative reduction of 65.2% in OOV word rate and 6.6% in WER.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Martins, C., Teixeira, A., Neto, J.: Dynamic Vocabulary Adaptation for a daily and real-time Broadcast News Transcription System. In: IEEE/ACL Workshop on Spoken Language Technology (December 2006)
Martins, C., Teixeira, A., Neto, J.: Vocabulary Selection for a Broadcast News Transcription System using a Morpho-syntatic Approach. In: Proc. of Interspeech 2007 (2007)
Strohman, T., Metzler, D., Turtle, H., Croft, W.B.: Indri: A language-model based search engine for complex queries (extended version). CIIR Technical Report (2005)
Ribeiro, R., Mamede, N., Trancoso, I.: Morpho-syntactic Tagging: a Case Study of Linguistic Resources Reuse. In: Language Technology for Portuguese: shallow processing tools and resources, Edições Colibri, Lisbon, Portugal (2004)
Martins, C., Teixeira, A., Neto, J.: Dynamic Language Modeling for a daily Broadcast News Transcription System. In: Proc. of ASRU (2007)
Lavrenko, V., Croft, W.: Relevance-Based Language Models. In: Proc. of SIGIR 2001 (2001)
Meinedo, H., Caseiro, D., Neto, J., Trancoso, I.: AUDIMUS. MEDIA: A Broadcast News Speech Recognition System for the European Portuguese Language. In: Mamede, N.J., Baptista, J., Trancoso, I., Nunes, M.d.G.V. (eds.) PROPOR 2003. LNCS, vol. 2721, Springer, Heidelberg (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Martins, C., Teixeira, A., Neto, J. (2008). Dynamic Language Modeling for the European Portuguese. In: Teixeira, A., de Lima, V.L.S., de Oliveira, L.C., Quaresma, P. (eds) Computational Processing of the Portuguese Language. PROPOR 2008. Lecture Notes in Computer Science(), vol 5190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85980-2_35
Download citation
DOI: https://doi.org/10.1007/978-3-540-85980-2_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85979-6
Online ISBN: 978-3-540-85980-2
eBook Packages: Computer ScienceComputer Science (R0)