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 paper describes how SMIL can be extended to support 3D audio in a similar fashion than AABIFS does it for MPEG-4. The SMIL layout is extended with an extra dimension to support a 3D space. Then, audio elements are positioned in the 3D space, whilst a listener element defines a listening point. Similarly to AABIFS perceptual modeling approach, an environment element describes environmental ...

This paper presents an object oriented layered software architecture for describing and designing environmental (everyday) sounds in user interfaces based on a new sound model (audio framework). This new architecture is defined by different layers including the physical layer, system sound software layer, sound analyser/synthesiser layer and the interface layer. The sound model described can be...

This paper presents an object oriented layered software architecture for describing and designing environmental (everyday) sounds in user interfaces based on a new sound model (audio framework). This new architecture is defined by different layers including the physical layer, system sound software layer, sound analyser/synthesiser layer and the interface layer. The sound model described can be...

This paper presents iEAR, a flexible spatial audio rendering tool for use with photorealistic monoscopic and stereoscopic panoramas across various display systems. iEAR allows users to easily present multichannel audio scenes over variable speaker arrangements, while maintaining tight integration with the corresponding visual elements of the display media. Built in the Max/MSP Audio Programming...

Seunghun Kim 1, Graham Wakefield 2 and Juhan Nam 1,* 1 Graduate School of Culture Technology, KAIST, Daejeon 34141, Korea; [email protected] 2 Arts, Media, Performance & Design, York University, Toronto, ON M3J 1P3, Canada; [email protected] * Correspondence: [email protected]; Tel.: +82-42-350-2926 † This paper is an extended version of paper published in the 41st International Compu...

This paper presents a partially implemented layered software architecture for describing and designing environmental sounds (everyday sounds) in non visual interfaces based on a new sound model (audio framework). This architecture facilitates non-speech audio presentation of objects and interaction mechanisms to non visual interfaces. Physical layer, system sound software layer, sound analyser/...

Environmental monitoring has become increasingly important due to the significant impact of human activities and climate change on biodiversity. Environmental sound sources such as rain and insect vocalizations are a rich and underexploited source of information in environmental audio recordings. This paper is concerned with the classification of rain within acoustic sensor recordings. We prese...

Audio signals are information rich nonstationary signals that play an important role in our day-to-day communication, perception of environment, and entertainment. Due to its non-stationary nature, timeor frequency-only approaches are inadequate in analyzing these signals. A joint time-frequency (TF) approach would be a better choice to efficiently process these signals. In this digital era, co...