Stop gap removal using spectral parameters for stuttered speech signal
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Published:2021-06-07
Issue:3
Volume:10
Page:1862-1866
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ISSN:2278-3091
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Container-title:International Journal of Advanced Trends in Computer Science and Engineering
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language:
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Short-container-title:IJATCSE
Abstract
Stuttering is an involuntary disturbance in the fluent flow of speech characterized by disfluencies such as stop gaps, sound or syllable repetition or prolongation. There are high proportion of stop gaps in stuttering. This work presents automatic removal of stop gaps using combination of spectral parameters such as spectral energy, centroid, Entropy and Zero crossing rate. A method for detecting and removing stop gaps based on threshold is discussed in this paper
Publisher
The World Academy of Research in Science and Engineering
Subject
Electrical and Electronic Engineering,Computer Science (miscellaneous)
Cited by
1 articles.
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1. Hybrid Approach to Detect Prolonged Speech Segments;International Journal of Engineering and Advanced Technology;2023-04-30