Segmentation of isolated words into voiced-unvoiced sound components by kurtosis;

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2015

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Institute of Electrical and Electronics Engineers Inc.

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Airframe and Powerplant Maintenance
(2012)
The Atılım University Department of Airframe and Powerplant Maintenance has been offering Civil Aviation education in English since 2012. In an effort to provide the best level of education, ATILIM UNIVERSITY demonstrated its merit as a role model in Civil Aviation Education last year by being granted a SHY 147 certificate with the status of “Approved Aircraft Maintenance Training Institution” by the General Directorate of Civil Aviation. The SHY 147 is a certificate for Approved Aircraft Maintenance Training Institutions. It is granted to institutions where training programs have undergone inspection, and the quality of the education offered has been approved by the General Directorate of Civil Aviation. With our Civil Aviation Training Center at Esenboğa Airport (our hangar), and the two Cessna-337 planes with double piston engines both of which are fully operational, as well our Beechcraft C90 Kingait plaine with double Turboprop engines, Atılım University is an institution to offer hands-on technical training in civil aviation, and one that strives to take the education it offers to the extremes in terms of technology. The Atılım university Graduate School Department of Airframe and Powerplant Maintenance is a fully-equipped civil aviation school to complement its theoretical education with hands-on training using planes of various kinds. Even before their graduation, most of our students are hired in Turkey’s most prestigious institutions in such a rapidly-developing sector. We are looking forward to welcoming you at this modern and contemporary institution for your education in civil aviation.

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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.

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Keywords

isolated word, Kurtosis, voiced-unvoiced sounds

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0

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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

URI

https://doi.org/10.1109/SIU.2015.7130339
 https://hdl.handle.net/20.500.14411/3754

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Scopus