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Speech perception involves prediction, but how is that prediction implemented? In cognitive models prediction has often been taken to imply that there is feedback of activation from lexical to pre-lex...
Jurafsky and Martins long-awaited text sets a new gold standard that will be difficult to surpass, as attested by the flurry of glowing reviews that accompanied its publication early this year.1 In a...
Despite years of speech recognition research, little is known about which words tend to be misrecognized and why. Previous work has shown that errors increase for infrequent words, short words, and ve...
In 4 chronometric experiments, influences of spoken word planning on speech recognition were examined. Participants were shown pictures while hearing a tone or a spoken word presented shortly after pi...
A Study of Tones and Tempo in Continuous Mandarin Digit Strings and their Application in Telephone Quality Speech Recognition.
Heterogeneous Measurements and Multiple Classifiers for Speech Recognition.
Telephone-Based Conversational Speech Recognition in the Jupiter Domain.
Real-time telephone-based speech recognition in the JUPITER domain.
The Use of Dynamic Reliability Scoring in Speech Recognition.
Lexical Modeling of Non-native Speech for Automatic Speech Recognition.
Heterogeneous Lexical Units for Automatic Speech Recognition: Preliminary Investigations.
Incremental Language Models for Speech Recognition using Finite-State Transducers.
Lexical Stress Modeling for Improved Speech Recognition of Spontaneous Telephone Speech in the JUPITER Domain.
Integration of Supra-Lexical Linguistic Models with Speech Recognition Using Shallow Parsing and Finite State Transducers.

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