Patent
Knowledge-based strategies applied to n-best lists in automatic speech recognition systems
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TLDR
In this paper, a highly accurate technique for recognizing spoken digit strings is described, in which a spoken digit string is received and analyzed by a speech recognizer, which generates a list of hypothesized digit strings arranged in ranked order based on a likelihood of matching the spoken string.Abstract:
A highly accurate technique for recognizing spoken digit strings is described. A spoken digit string is received (14) and analyzed by a speech recognizer (18), which generates a list of hypothesized digit strings arranged in ranked order (16) based on a likelihood of matching the spoken digit string (20). The individual hypothesized strings are then analyzed in order beginning with the hypothesized string having the greatest likelihood of matching the spoken string to determine whether they satisfy a given constraint. The first hypothesized string in the list satisfying the constraint is selected as the recognized string (22).read more
Citations
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Method and system for considering information about an expected response when performing speech recognition
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References
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Patent
Automated directory assistance system using word recognition and phoneme processing method
Frank E. Meador,Kathleen M. Casey,James E. Curry,Alexander I. McAllister,Robert C. Tressler,James B. Hayden,John P. Hanle +6 more
TL;DR: A mechanized directory assistance system for use in a telecommunications network includes multiple speech recognition devices comprising a word recognition device, a phoneme recognition device and an alphabet recognition device as mentioned in this paper.
PatentDOI
Locating and correcting erroneously recognized portions of utterances by rescoring based on two n-best lists
Alex Waibel,Arthur Eugene Mcnair +1 more
TL;DR: In this article, a method of repairing machine-recognized speech is comprised of the steps of receiving from a recognition engine a first n-best list of hypotheses and scores for each hypothesis generated in response to a primary utterance to be recognized.
Journal ArticleDOI
Discriminative utterance verification for connected digits recognition
TL;DR: In this paper, a hidden Markov model-based (HMM-based) utterance verification system using the framework of statistical hypothesis testing is described. But the proposed verification technique was integrated into a state-of-the-art connected digit recognition system, and the string error rate for valid digit strings was found to decrease by 57% when setting the rejection rate to 5% and was able to correctly reject over 999% of nonvocabulary word strings.
PatentDOI
Speech recognition apparatus which predicts word classes from context and words from word classes
Peter Fitzhugh Brown,Stephen A. Della Pietra,Vincent J. Della Pietra,Robert Leroy Mercer,Philip Resnik,Stanley S. Chen +5 more
TL;DR: In this paper, a language generator for a speech recognition apparatus scores a word-series hypothesis by combining individual scores for each word in the hypothesis, and the hypothesis score for a single word comprises a combination of the estimated conditional probability of occurrence of a first class of words comprising the word being scored, given the occurrence of the context comprising the words in the word series hypothesis other than the word was being scored.