Recognition of classroom lectures in European Portuguese. Trancoso, I.; Nunes, R.; Neves, L.; Viana, M. d. C.; Moniz, H.; Caseiro, D.; and Mata, A. I. In ICSLP 2006 - Interspeech 2006. Proceedings of the 9th International Conference on Spoken Language Processing, pages 281-284, Pittsburgh, PA, USA, September 17-21, 2006.
Recognition of classroom lectures in European Portuguese [pdf]Paper  abstract   bibtex   
Classroom lectures may be very challenging for automatic speech recognizers, because the vocabulary may be very specific and the speaking style very spontaneous. Our first experiments using a recognizer trained for Broadcast News resulted in word error rates near 60%, clearly confirming the need for adaptation to the specific topic of the lectures, on one hand, and for better strategies for han- dling spontaneous speech. This paper describes our efforts in these two directions: the different domain adaptation steps that lowered the error rate to 45%, with very little transcribed adaptation mate- rial, and the exploratory study of spontaneous speech phenomena in European Portuguese, namely concerning filled pauses.
@inproceedings{trancoso_recognition_2006,
	Address = {Pittsburgh, PA, USA, September 17-21, 2006},
	Author = {Trancoso, Isabel and Nunes, Ricardo and Neves, Luís and Viana, Maria do Céu and Moniz, Helena and Caseiro, Diamantino and Mata, Ana Isabel},
	Booktitle = {ICSLP 2006 - Interspeech 2006. Proceedings of the 9th International Conference on Spoken Language Processing},
	Date = {2006},
	Date-Modified = {2016-09-24 18:56:16 +0000},
	File = {Attachment:files/11144/Trancoso et al. - 2006 - Recognition of classroom lectures in European Portuguese.pdf:application/pdf},
	Keywords = {applications, Portuguese, speech recognition, speech technology},
	Pages = {281-284},
	Title = {Recognition of classroom lectures in European Portuguese},
	Url = {http://www.inesc-id.pt/pt/indicadores/Ficheiros/3410.pdf},
	Abstract = {Classroom lectures may be very challenging for automatic speech recognizers, because the vocabulary may be very specific and the speaking style very spontaneous. Our first experiments using a recognizer trained for Broadcast News resulted in word error rates near 60\%, clearly confirming the need for adaptation to the specific topic of the lectures, on one hand, and for better strategies for han- dling spontaneous speech. This paper describes our efforts in these two directions: the different domain adaptation steps that lowered the error rate to 45\%, with very little transcribed adaptation mate- rial, and the exploratory study of spontaneous speech phenomena in European Portuguese, namely concerning filled pauses.},
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