Segmentation of Isolated Words Into Voiced-Unvoiced Sound Components by Kurtosis;
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Date
2015
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
No
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Publicly Funded
No
Abstract
This study presents a new approach to the segmentation of isolated words into their voiced/ unvoiced parts. It is well known that voiced/ unvoiced discrimination has an important role in speech synthesis and coding applications. The offered method makes this discrimination using the kurtosis values of the words. The performance of the proposed approach was tested on Turkish digit recordings from zero to nine. It has been observed that this approach segments the parts successfully in not only clean speech but also in noisy speech. © 2015 IEEE.
Description
Keywords
isolated word, Kurtosis, voiced-unvoiced sounds
Turkish CoHE Thesis Center URL
Fields of Science
03 medical and health sciences, 0305 other medical science
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
N/A
Source
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings -- 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 -- Malatya -- 113052
Volume
Issue
Start Page
2306
End Page
2309
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Citations
Scopus : 0
Page Views
2
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