About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
IEEE TSP
Paper
Constructing Candidate Word Lists Using Acoustically Similar Word Groups
Abstract
In this correspondence we discuss a method for identifying a set of candidate words that match well with a given utterance. The method uses precomputed groups of acoustically similar words. Given a vocabulary we compute for each word a short list of words that are acoustically similar to it. These groups are constructed using training utterances recorded by several speakers. We then use these groups in an isolated utterance recognition system to construct candidate word lists during recognition. Our experiments show that the correct word appears on the short list of candidate words constructed during recognition using this scheme over 98% of the time. © 1992 IEEE