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An Approach to the Classification of Environmental Sounds by LSTM Based Transfer Learning Method
(2020)This electronic Effective frequency extraction from acoustic environmental sounds in frequency and time axis increases the importance of voice recognition, sound detection, environmental classification in recently. For ... -
Comparison of SVM and ANFIS for Snore Related Sounds Classification by Using the Largest Lyapunov Exponent and Entropy
(,2013, 2013)Snoring, which may be decisive for many diseases, is an important indicator especially for sleep disorders. In recent years, many studies have been performed on the snore related sounds (SRSs) due to producing useful results ... -
Correlations between problem and solution domain measures of open source software
(2017)Software size measurement and effort estimation methodologies in use today usually take the detailed requirements of software to be developed as the primary input and a certain amount of time and expertise is needed for ... -
Deep Learning Based Multi Modal Approach for Pathological Sounds Classification
(2020)Automatic detection of voice disorders is very important because it makes the diagnosis process simpler, cheaper and less time consuming. In the literature, there are many studies available on the analysis of voice disorders ... -
Elevator Parking Approach in Nearest Car Method
(2018)A fundamental factor that determines the system efficiency and the quality of service in elevator group control systems is the used elevator dispatching algorithm. Along with the elevator dispatching algorithm, using an ... -
Max-Min Space Approach for Acoustic Signal Analysis
(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 Discriminating the Acoustic Signals: Largest Area Parameter (LAP)
(2018)Feature extraction of sound signals is essential for the performance of applications such as pattern and voice recognition etc. In this study, a method based on a novel feature is proposed to separate pathological human ... -
A New Approach for Estimation of Heart Beat Rates from Speech Recordings
(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 ...