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Toplam kayıt 4, listelenen: 1-4
A hybrid measure for the discrimination of the acoustic signals: Feature matrix (FMx)
(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 ...
Estimation of heartbeat rate from speech recording with hybrid feature vector (HFV)
(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 ...
Classification of acoustic signals with new feature: Fibonacci space (FSp)
(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 ...
Blood pressure prediction from speech recordings
(2020)
The aim of this study is to extract new features to show the relationship between speech recordings and blood pressure (BP). For this purpose, a database consisting of / a / vowels with different BP values under the same ...