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A Graphical Speech Analysis Teaching Tool

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dc.contributor.author Özaydın, Selma
dc.date.accessioned 2024-03-05T13:00:58Z
dc.date.available 2024-03-05T13:00:58Z
dc.date.issued 2022
dc.identifier.citation Özaydın, Selma. "A Graphical Speech Analysis Teaching Tool", 2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022, 23 November 2022through 25 November 2022, pp. 23-26. tr_TR
dc.identifier.isbn 9781665456005
dc.identifier.uri http://hdl.handle.net/20.500.12416/7481
dc.description.abstract The widespread use of digital speech processing in today's technologies causes many electronics and computer engineering students to need a basic background in these subjects. The paper describes a toolbox designed to support undergraduate or graduate level courses on speech processing. The proposed educational toolbox is designed as a virtual lab for basic operations in digital speech processing-based courses. This graphical user interface (GUI) based speech analysis algorithm is built with six main function modules, which are signal input, noise addition, up-sampling/down-sampling, time domain feature analysis, pitch detection and frequency domain analysis. The toolbox involves different operations for measuring important speech feature parameters such as pitch, energy, zero-crossing ratio, FFT and power spectrum of an input speech signal. The toolbox has also been developed to easily manipulate and add some other possible speech processing methods. It is thought that the tool will make it easier for students to understand the methods that form the basis of digital speech processing, increase the interest in the lesson with its visual outputs, and allow new methods to be added easily when desired thanks to its simple and modular structure. The main aim of this paper to show how such a tool facilitates students understanding of technical concepts introduced in speech courses. © 2022 IEEE. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1109/ICECTA57148.2022.9990239 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject GUI tr_TR
dc.subject MATLAB tr_TR
dc.subject Speech Analysis tr_TR
dc.subject Speech Processing tr_TR
dc.subject Teaching Tool tr_TR
dc.title A Graphical Speech Analysis Teaching Tool tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022 tr_TR
dc.contributor.authorID 253019 tr_TR
dc.identifier.startpage 23 tr_TR
dc.identifier.endpage 26 tr_TR
dc.contributor.department Çankaya Üniversitesi, Meslek Yüksek Okulu, Bilgisayar Programcılığı Bölümü tr_TR


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