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Towards unsupervised pattern discovery in speech (2008)
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BibTeX
@MISC{Park08towardsunsupervised,
author = {Alex S. Park and James R. Glass},
title = {Towards unsupervised pattern discovery in speech},
year = {2008}
}
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Abstract
We present a novel approach to speech processing based on the principle of pattern discovery. Our work represents a departure from traditional models of speech recognition, where the end goal is to classify speech into categories defined by a prespecified inventory of lexical units (i.e., phones or words). Instead, we attempt to discover such an inventory in an unsupervised manner by exploiting the structure of repeating patterns within the speech signal. We show how pattern discovery can be used to automatically acquire lexical entities directly from an untranscribed audio stream. Our approach to unsupervised word acquisition utilizes a segmental variant of a widely used dynamic programming technique, which allows us to find matching acoustic patterns between spoken utterances. By aggregating information about these matching patterns across audio streams, we demonstrate how to group similar acoustic sequences together to form clusters corresponding to lexical entities such as words and short multiword phrases. On a corpus of academic lecture material, we demonstrate that clusters found using this technique exhibit high purity and that many of the corresponding lexical identities are relevant to the underlying audio stream.
Keyphrases
towards unsupervised pattern discovery lexical entity pattern discovery traditional model underlying audio stream matching acoustic pattern spoken utterance prespecified inventory segmental variant word acquisition unsupervised manner lexical unit unsupervised pattern discovery academic lecture material audio stream unsupervised word acquisition untranscribed audio stream speech recognition group similar acoustic sequence dynamic programming technique novel approach end goal short multiword phrase corresponding lexical identity speech signal index term speech processing technique exhibit high purity
