How do we describe the exemplary acuity of humans to analyze and respond to sounds, particularly to music? Is our current knowledge sufficient to produce working computational models for such sensations? Has our perspective for the conceptual structure of such models changed and why is this important? This work attempts to provide brief answers to these questions, focusing on a recent comprehen...

Numerous examinations are performed related to automatic emotion recognition and speech detection in the Laboratory of Speech Acoustics. This article reviews results achieved for automatic emotion recognition experiments on spontaneous speech databases on the base of the acoustical information only. Different acoustic parameters were compared for the acoustical preprocessing, and Support Vector...

The time domain waveform of a speech signal carries all of the auditory information. From the phonological point of view, very little can be said on the basis of the waveform itself. However, past research in mathematics, acoustics, and speech technology have provided many methods for converting data, that can be considered as information if interpreted correctly. In order to find some statisti...

In a situation where traffic, railway or aircraft noise sources are not present, as it happens in shielded areas, other sources might become relevant in terms of annoyance. This is the case of typical turbomachinery elements, such as fans, compressors or turbines, where sound is generated aerodynamically. As a part of the Sonorus project, where all noise sources in urban environments are consid...

The paper considers the problem of audio-visual speech recognition in a simultaneous (target/masker) speaker environment. The paper follows a conventional multistream approach and examines the specific problem of estimating reliable timevarying audio and visual stream weights. The task is challenging because, in the two speaker condition, signal-to-noise ratio (SNR) – and hence audio stream wei...