Systems, methods and articles of manufacture for performing high

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395 263, 395 265, 395 266, G10L 900

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active

058057722

ABSTRACT:
Disclosed are systems, methods and articles of manufacture for performing high resolution N-best string hypothesization during speech recognition. A received input signal, representing a speech utterance, is processed utilizing a plurality of recognition models to generate one or more string hypotheses of the received input signal. The plurality of recognition models preferably include one or more inter-word context dependent models and one or more language models. A forward partial path map is produced according to the allophonic specifications of at least one of the inter-word context dependent models and the language models. The forward partial path map is traversed in the backward direction as a function of the allophonic specifications to generate the one or more string hypotheses. One or more of the recognition models may represent one phone words.

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Chou, W., et al., "An Algorithm of High Resolution and Efficient Multiple String Hypothesization for Continuous Speech Recognition Using Inter-Word Models," Proc., ICASSP 94, pp II-153-II-156. Dec. 1984.
Alleva, Fil, et al., "An Improved Search Algorithm Using Incremental Knowledge for Continuous Speech Recognition," Proc. ICASSP 93, pp II-307-II-310. Dec. 1993.
Soong, Frank K., and Huang, Eng-Fong, "A Tree-Trellis Based Fast Search for Finding the N Best Sentence Hypothesis in Continuous Speech Recognition," Proc. ICASSP 91, pp. 705-708. Dec. 1991.
Schwartz, Richard, and Chow, Yen-Lu, "The N-Best Algorithm: An Efficient and Exact Procedure for Finding the N Most Likely Sentence Hypothesis," Proc. ICASSP 91, pp. 81-84. Dec. 1991.

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