Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Neurocardiology is a study of interaction between the brain and the heart. This paper presents the pilot study which assessed the multivariate analysis of EEG and ECG activity in the healthy and sleep apnoea patients during different sleep stages. Three synchronization measures based on a linear method (cross-correlation), information theory (mutual information) and nonlinear interdependence, were...
The introduction of Gaussian mixture models (GMMs) in the field of speaker verification has led to very good results. This paper illustrates an evolution in state-of-the-art speaker verification by highlighting the contribution of recently established information theoretic based vector quantization technique. We explore the novel application of three different vector quantization algorithms, namely...
We present new methods that extract characteristic features from speech magnitude spectrograms. Two of the presented approaches have been found particularly efficient in the process of automatic stress and emotion classification. In the first approach, the spectrograms are sub-divided into ERB frequency bands and the average energy for each band is calculated. In the second approach, the spectrograms...
The speech signal is an important tool for conveying information between humans; at the same time, it is an indicator of a speaker's emotions. In this paper, the automatic identification of affect from speech containing spontaneously expressed (not acted) emotions within different environments was investigated. The teager energy operator-perceptual wavelet packet (TEO-PWP) features as well as the...
This study investigates effects of a clinical environment on speaker recognition rates. Two sets of speakers were used: a clinical set containing speech recordings of 70 clinically depressed speakers and a control set containing 68 non-depressed speakers. MFCC characteristic features were used to produce statistical models of speakers using four modeling methods: GMM_EM, GMM_K-means, GMM_LBG, and...
This paper investigates automatic affect classification in spontaneous speech within normal and clinical family environments. The data base used in this study comprised speech recordings of parents of depressed adolescents (19 fathers and 20 mothers) and parents of non-depressed adolescents (25 fathers and 7 mothers). The speech data were recorded during natural parent-child conversations. Five emotional...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.