Prolongation detection with application of fuzzy logic
Abstract
The article presents the method elaborated by the authors for automatic prolongation detection in utterances by the people who stutter. Fricative and nasals consonants were focused upon, as they are the most frequently prolonged ones. Fuzziness was applied in the scales of time, frequency and level of distinctive features of a given manner of articulation. The presented method was verified in continuous speech. It characterizes with almost 90% effectiveness of recognition and high precision of duration measurements of non-fluent episodes.
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PDFDOI: http://dx.doi.org/10.17951/ai.2003.1.1.1-8
Date of publication: 2015-01-04 00:00:00
Date of submission: 2016-04-27 10:10:08
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