Intelligent virtual objects gain more and more significance in the development of virtual worlds. Although this concept has high potential in generating all kinds of multimodal output, so far it is mostly used to enrich graphical properties. This paper proposes a framework, in which objects, enriched with information about their sound properties, are being processed to generate virtual sound so...

The ConditionaL Neural Network (CLNN) exploits the nature of the temporal sequencing of the sound signal represented in a spectrogram, and its variant the Masked ConditionaL Neural Network (MCLNN) induces the network to learn in frequency bands by embedding a filterbank-like sparseness over the network’s links using a binary mask. Additionally, the masking automates the exploration of different...

This article presents a multidomain approach which addresses the problem of automatic home environmental sound recognition. The proposed system will be part of a human activity monitoring system which will be based on heterogeneous sensors. This work concerns the audio classification component and its primary role is to detect anomalous sound events. We compare the discriminative capabilities o...

A system is described for simulating environmental sound in interactive virtual worlds, using the physical state of objects as control parameters. It contains a unified framework for integration with physics simulation engines, and synthesis algorithms that are tailored to work within the framework. A range of behaviours can be simulated, including diffuse and non-linear resonators, and loose s...

Our long term goal is to develop accurate models for high-frequency acoustic penetration into, propagation within, and scattering from shallow water ocean sediments. This work should specifically improve the Navy’s ability to detect buried mines and, in general, improve sonar performance in shallow water. Additional objectives of the NRL program are to understand and model the complex interacti...

The paper considers the task of recognizing environmental sounds for the understanding of a scene or context surrounding an audio sensor. A variety of features have been proposed for audio recognition, including the popular Mel-frequency cepstral coefficients (MFCCs) which describe the audio spectral shape. Environmental sounds, such as chirpings of insects and sounds of rain which are typicall...

This thesis focusses on research that gears towards Cooperative Localisation utilising only ambient sound. Sound signals can be used for Time Difference Of Arrival (TDOA) based Cooperative Localisation on mobile devices. Android has a large penetration in the worldwide market, thus developing an application that is able to run on Android devices is very interesting. Combining these arguments le...

Feature selection for audio retrieval is a non-trivial task. In this paper we aim at identifying an optimal feature combination for environmental sound recognition. The feature combination is constructed from a broad set of features. Additionally to state-of-the-art features, we evaluate the quality of audio features we previously introduced for another domain. We examine the properties of feat...

This study contains the first report of stridulatory sound observed in Panstrongylus rufotuberculatus Champion, 1899, and also a new record of this species in Venezuela. The conditions in which stridulation occurred are described, as well as the general environmental characteristics of the localities where it was found. This triatomine only performs the sound in conditions of extreme provocation.

BACKGROUND Annoyance reactions to environmental noise, such as wind turbine sound, have public health implications given associations between annoyance and symptoms related to psychological distress. In the case of wind farms, factors contributing to noise annoyance have been theorised to include wind turbine sound characteristics, the noise sensitivity of residents, and contextual aspects, suc...