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Combining Knowledge Sources to Reorder N-Best Speech Hypothesis Lists

1994/07/12 by Manny Rayner, David Carter, Rayner, Manny +5
Computer Science · Engineering · #Advanced Data Processing Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Neural Networks and Applications #Speech Recognition and Synthesis #cmp-lg #cs.CL

paper · pdf · doi:10.48550/arxiv.cmp-lg/9407010

13 pages, Latex source. To appear in Proc. HLT '94

arxiv created 1994/07/12 · openalex publication_date 1994/07/12 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A simple and general method is described that can combine different knowledge sources to reorder N-best lists of hypotheses produced by a speech recognizer. The method is automatically trainable, acquiring information from both positive and negative examples. Experiments are described in which it was tested on a 1000-utterance sample of unseen ATIS data.

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