An effective acoustic modeling of names based on model induction

Taeyoon Kim, Sunmee Kang, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In a speech recognition based automatic directory assistance service, name modeling is an important issue that directly affects the overall system performance. In this paper, we propose an effective name modeling method considering the similarity property of names. In particular, we use explicit models to capture the common surnames (as in Korean names) while phone models are used to capture the less common first names. The proposed algorithm includes the surname model induction as a remedy to the insufficient training data problem caused by the model number increase. To efficiently induce the surname model, a model selection method based on the Bayesian information criterion (BIC) is introduced. Our experiment shows that the proposed name modeling method is effective and that the model induction method using BIC produces compact but accurate models.

Original languageEnglish
Title of host publicationSpeech Processing II
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1265-1268
Number of pages4
ISBN (Electronic)0780362934
DOIs
Publication statusPublished - 2000 Jan 1
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: 2000 Jun 52000 Jun 9

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Conference

Conference25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
CountryTurkey
CityIstanbul
Period00/6/500/6/9

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Kim, T., Kang, S., & Ko, H. (2000). An effective acoustic modeling of names based on model induction. In Speech Processing II (pp. 1265-1268). [861807] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2000.861807