We proposed a sensing method of three-dimensional (3D) sound-space information based on symmetrically and densely arranged microphones mounted on a solid sphere. We call this method SENZI (Sakamoto et al., 2008). In SENZI, the sensed signals from each of the microphone is simply weighted and summed to synthesize a listener's HRTF, reflecting the listener's facing direction. Weighting coefficien...

Though several approaches in sound processing are denoted as 3D audio very few of them generate high quality 3D audio information which allows listeners to exactly locate sound sources in three dimensional space. We present an approach to enhance sound by high quality 3D audio information through acoustic ray tracing where 3D audio is o ine processed with digital lters of a head-related transfe...

BACKGROUND In many natural audiovisual events (e.g., the sight of a face articulating the syllable /ba/), the visual signal precedes the sound and thus allows observers to predict the onset and the content of the sound. In healthy adults, the N1 component of the event-related brain potential (ERP), reflecting neural activity associated with basic sound processing, is suppressed if a sound is ac...

The MPEG-7 sound-recognition Descriptors and Description Schemes consist of tools for indexing audio media using probabilistic sound models. The Descriptors provide containers for category labels, as well as data structures for quantitative information about sound content. We describe the normative tools, as well as informative methods, for automatic description extraction and sound matching.

The claim that the sensitivity of free recall to disruption by irrelevant sound is a function of the extent to which rote rehearsal is employed as a mnemonic strategy was investigated in two experiments. The degree of disruption by irrelevant sound in terms of both item and order information was contrasted under serial and free recall instructions. Irrelevant sound was found to disrupt order an...

Learning p(A|B) often provides information about p(B|A). Do learners attend to this information? In Experiment 1, preschool-aged children learned to predict the sound of an alien from its color. The predictability of color from sound did not have a large effect on learning rate. During testing children seemed to use the learned probabilities, p(sound|color) to make judgments of the inverses, p(...

The most difficult and problematic task for cardiology specialists is the interpretetation of heart sounds. It requires special skill and clinical experience along with detailed and expensive tests. However, while detection of heart disease heart sound is proffered for the first step of diagnosis . Recently, many Computer aided auscultation has emerged as a cost-effective technique to analyze a...

Determining the location of a sound source is crucial for survival. Both predators and prey usually produce sound while moving, revealing valuable information about their presence and location. Animals have thus evolved morphological and neural adaptations allowing precise sound localization. Mammals rely on the temporal and amplitude differences between the sound signals arriving at their two ...

A central problem in automatic sound recognition is the mapping between low-level audio features and the meaningful content of an auditory scene. We propose a dynamic network model to perform this mapping. In acoustics, much research is devoted to low-level perceptual abilities such as audio feature extraction and grouping, which are translated into successful signal processing techniques. Howe...

Discriminating external from self-produced sensory inputs is a major challenge for brains. In the auditory system, sound localization must account for movements of the head and ears, a computation likely to involve multimodal integration. Principal neurons (PNs) of the dorsal cochlear nucleus (DCN) are known to be spatially selective and to receive multimodal sensory information. We studied the...