Abstract
The paper presents the Brno University of Technology (BUT) system for indexing and search of speech, combining LVCSR and phonetic approach. It brings a complete description of individual building blocks of the system from signal processing, through the recognizers, indexing and search until the normalization of detection scores. It also describes the data used in the first edition of NIST Spoken term detection (STD) evaluation. The results are presented on three US-English conditions - meetings, broadcast news and conversational telephone speech, in terms of detection error trade-off (DET) curves and term-weighted values (TWV) metrics defined by NIST.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Burget, L., Černocký, J., Fapšo, M., Karafiát, M., Matějka, P., Schwarz, P., Smrž, P., Szöke, I.: Indexing and search methods for spoken documents. In: TSD 2006, pp. 351–358 (September 2006)
NIST Spoken Term Detection Evaluation, http://www.nist.gov/speech/tests/std/
van Leeuwen, D.A., Huijbregts, M.: The AMI Speaker Diarization System for NIST RT06s Meeting Data. In: Renals, S., Bengio, S., Fiscus, J.G. (eds.) MLMI 2006. LNCS, vol. 4299, pp. 371–384. Springer, Heidelberg (2006)
Hain, T., et al.: The AMI Meeting Transcription System. In: Proc. NIST Rich Transcription 2006 Spring Meeting Recognition Evaluation Worskhop, p. 12. Washington D.C., USA (2006)
Grézl, F., Karafiát, M., Kontár, S., Černocký, J.: Probabilistic and bottle-neck features for LVCSR of meetings. In: Proc. ICASSP 2007, Hawaii (2007)
Schwarz, P., Matějka, P., Černocký, J.: Towards Lower Error Rates in Phoneme Recognition. In: Sojka, P., Kopeček, I., Pala, K. (eds.) TSD 2004. LNCS (LNAI), vol. 3206, Springer, Heidelberg (2004)
Eastern European Speech Databases for Creation of Voice Driven Teleservices, http://www.fee.vutbr.cz/SPEECHDAT-E/
Povey, D.: Discriminative Training for Large Vocabulary Speech, Recognition, PhD. Thesis, Cambridge University (July 2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Szöke, I. et al. (2008). Spoken Term Detection System Based on Combination of LVCSR and Phonetic Search. In: Popescu-Belis, A., Renals, S., Bourlard, H. (eds) Machine Learning for Multimodal Interaction. MLMI 2007. Lecture Notes in Computer Science, vol 4892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78155-4_21
Download citation
DOI: https://doi.org/10.1007/978-3-540-78155-4_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78154-7
Online ISBN: 978-3-540-78155-4
eBook Packages: Computer ScienceComputer Science (R0)