Improvements in beam search for 10000-word continuous-speech recognition

R. Haeb-Umbach, H. Ney, IEEE Transactions on Speech and Audio Processing (1994).

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The authors describe the improvements in a time-synchronous beam search strategy for a 10000-word continuous-speech recognition task. Basically they introduced two measures, namely a tree organization of the pronunciation lexicon and a novel look-ahead technique at the phoneme level. The experimental tests performed showed that the number of state hypotheses could be reduced from 50000 to 3000, i.e., by a factor of about 17. At the same time, the word error rate did not increase.
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IEEE Transactions on Speech and Audio Processing
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Haeb-Umbach R, Ney H. Improvements in beam search for 10000-word continuous-speech recognition. IEEE Transactions on Speech and Audio Processing. 1994.
Haeb-Umbach, R., & Ney, H. (1994). Improvements in beam search for 10000-word continuous-speech recognition. IEEE Transactions on Speech and Audio Processing.
@article{Haeb-Umbach_Ney_1994, title={Improvements in beam search for 10000-word continuous-speech recognition}, journal={IEEE Transactions on Speech and Audio Processing}, author={Haeb-Umbach, Reinhold and Ney, Hermann}, year={1994} }
Haeb-Umbach, Reinhold, and Hermann Ney. “Improvements in Beam Search for 10000-Word Continuous-Speech Recognition.” IEEE Transactions on Speech and Audio Processing, 1994.
R. Haeb-Umbach and H. Ney, “Improvements in beam search for 10000-word continuous-speech recognition,” IEEE Transactions on Speech and Audio Processing, 1994.
Haeb-Umbach, Reinhold, and Hermann Ney. “Improvements in Beam Search for 10000-Word Continuous-Speech Recognition.” IEEE Transactions on Speech and Audio Processing, 1994.

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