Discriminatively Trained Context-Dependent Duration-Bigram Models for Korean Digit Recognition

Abstract

The recognition of continuously spoken Korean digits is well known to be a particularly challenging task among small vocabulary recognition problems. In this paper, we review and evaluate our acoustic modeling efforts for the purpose of efficient high-accuracy recognition of Korean digit strings for in-car applications. The measures comprise context… (More)
DOI: 10.1109/ICASSP.2006.1659948

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Cite this paper

@article{Willett2006DiscriminativelyTC, title={Discriminatively Trained Context-Dependent Duration-Bigram Models for Korean Digit Recognition}, author={Daniel Willett and Franz Gerl and Raymond Brueckner}, journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings}, year={2006}, volume={1}, pages={I-I} }