Browsing Teknik Bilimler Meslek Yüksekokulu / Vocational School of Technical Sciences by Author "0000-0002-6240-2545"
Now showing items 1-7 of 7
-
Classification of acoustic signals with new feature: Fibonacci space (FSp)
Ankishan, Haydar (2019)In this study, a new feature and feature space (FSp) are introduced by using the approach of Fibonacci series formation. The results are presented as two experimental studies. The nine groups of acoustic signals and ... -
Estimation of heartbeat rate from speech recording with hybrid feature vector (HFV)
Ankishan, Haydar (2019)This paper introduces a new hybrid feature vector for revealing the relationship between human voice and heartbeat rate (HBR). Various samples of the sustained vowel /a/ for different HBR have been extracted from a database ... -
A hybrid measure for the discrimination of the acoustic signals: Feature matrix (FMx)
Anskishan, Haydar; Inam, Sitki Cagdas (2019)We introduce a new feature matrix (FMx) to discriminate the acoustic signals with the help of their hybrid characteristics. The FMx has hybrid domain characteristics consisting of feature values such as distributional area ... -
Max-Min Space Approach for Acoustic Signal Analysis
Ankishan, Haydar; Baysal, Ugur (2017)Acoustic signals having pathological problem are difficult to discriminate from each other. Despite the presence of many features, the difficulties arise from the chaotic and nonlinear nature of these voices. Unlike the ... -
A New Approach for Estimation of Heart Beat Rates from Speech Recordings
Ankishan, Haydar; Baysal, Ugur (2017)Today, people are able to have information about their mental state, behavior, and health status in some issues from the features of the voices. The study involves calculating the heart rates of people using nonlinear ... -
A New Approach for the Acoustic Analysis of the Speech Pathology
Ankishan, Haydar (2017)Voice disorders are a common physical problem that can be encountered today and can cause serious problems in the long term. It is necessary to analyze the voice and extract its characteristics correctly so that it can be ... -
A New Portable Device for the Snore/Non-Snore Classification
Ankishan, Haydar; Tuncer, A. Turgut (2017)Snoring is widely known as a disease. The aim of this paper is to introduce and validate our newly developed snoring detection device to identify automatically snore and non-snore sounds using a nonlinear analysis technique. ...
