Structural Representation of Speech for Phonetic Classification
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Date
08/2004Author
Gutkin, Alexander
King, Simon
Metadata
Abstract
This paper explores the issues involved in using symbolic metric algorithms for automatic speech recognition(ASR), via a structural representation of speech. This representation
is based on a set of phonological distinctive features which is a linguistically well-motivated alternative to the “beads-on-a-string” view of speech that is standard in current ASR systems. We report the promising results of
phoneme classification experiments conducted on a standard continuous speech task.