Our recent experiments with Gaussian mixture (GMM) based acoustic models have shown that employing context dependent acoustic models, namely triphones, can greatly improve recognition accuracy [1] in comparison to systems based on context independent units. Significant portion of our research has been aimed at exploring the possibilities of neural networks as acoustic models for speech recognit...

In this letter, an acoustic environment classification algorithm based on the 3GPP2 selectable mode vocoder (SMV) is proposed for context-aware mobile phones. Classification of the acoustic environment is performed based on a Gaussian mixture model (GMM) using coding parameters of the SMV extracted directly from the encoding process of the acoustic input data in the mobile phone. Experimental r...

Among the many variable sounds in human laughter, vocalizations often contain series of vocal elements of similar acoustic properties. This study aims to elucidate whether such element series contain trajectories of changes in acoustic parameters that might be used to encode information, e.g. on the state of the signaller. We recorded bouts of laughter of adult humans (N = 17) and used a multi-...

Although the emotions and learning based on emotional reaction are individual-specific, main features consistent among all people. Depending states of persons, various physical physiological changes can be observed in pulse breathing, blood flow velocity, hormonal balance, sound properties, face expression hand movements. The diversity, size grade these shaped by different states. Acoustic anal...

we have calculated the phonon frequencies of kc1 along symmetry directions using an approach which is a combination of the frozen phonon and force constants methods. we also calculated griineisen parameters for all modes at x and l points in the brillouin zone. finally, the slope of acoustic dispersion curves around zone center were used to calculate the three independent elastic coefficients c...