Elektronik ve Haberleşme Mühendisliği Bölümü Yayın Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/260
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Article Comparative Analysis of Early Studies on Turkish Whistle Language and a Case Study on Test Conditions(2018) Özaydın, SelmaThis paper examines the early studies on Turkish Whistle Language and it argues that they have some controversial results. The study considers these issues need to be discussed and searched again in terms of linguistic and phonetic form. Unfortunately, there are few research studies on Turkish whistle language and most of them were performed nearly fifty years ago despite the fact that this language still has been used in Kuskoy region. Therefore, the findings of these early research studies could give valuable information to start to a new research study on the subject. The first scientific study on Turkish Whistle language was performed by a French scientist R.G. Busnel with his multidisciplinary research team in 1967. Some of this research’s results were published in the book. A Turkish scientist O. Baskan also participated in Busnel’s research group and published a paper on TWsL in 1968. However, some assertions such as people having a tendency to understand the Turkish whistle language with three vowels and three consonants have not been in the research results of R.G. Busnel. In addition, a Turkish scientist D. Aksan in Turkey had performed another research at Kuskoy region with his own team. Their test methods were different from the previous ones. This paper analyzes these research results on a comparative basis and presents the common and conflicted issues to discuss the uncertain points. The comparative evaluation of these past research studies aims to highlight the controversial position of the results on Turkish Whistle Language. In this scope, this paper opens a discussion about the selection of test conditions for an acoustic and linguistic analysis of the Turkish whistle language.Article Speech Enhancement using Maximal Overlap Discrete Wavelet Transform Method(2019) Özaydın, Selma; Alak, İman KhalilSignal denoising for non-stationary digital signals can be effectively succeeded by using discrete wavelet transform. Selecting of a suitable thresholding method is important to minimize the loss of useful signal information. This paper demonstrates the application of the maximal overlap wavelet transform (Modwt) technique in speech signal denoising. The analysis algorithm was performed on Matlab platform. In this algorithm, different kinds of input noisy speech signals having environmental background noises such as restaurant, car, street or station were tested. The noisy signals were filtered from the speech signal by thresholding of wavelet coefficients with threshold estimation methods known as sgtwolog, modwtsqtwolog, heursure, rigrsure and minimax. The performance of the Modwt in denoising process was evaluated by comparing signal-to noise ratio (SNR) and mean square error (MSE) results to those of wellknown threshold estimation methods. First, denoising effectiveness of a Modwt based threshold method was tested in different scenarios and very important improvements in denoising process were achieved by Modwt based scenarios. Next, the influence of the different wavelets families on Modwt based threshold estimation method was evaluated by experimental results. The results revealed that Modwt based method outperforms conventional threshold methods while providing nearly up to a %24 increase in SNR value.