Passive acoustic monitoring is emerging as a promising non-invasive proxy for ecological
complexity with potential as a tool for remote assessment and monitoring (Sueur & Farina …

The classification of environmental sound events is of great significance for applications
such as machine hearing and acoustic surveillance. Feature representation and feature …

While visual saliency models are approaching maturity, their auditory counterparts remain in
their infancy. This is mainly due to the difficulties of gathering basic data, and …

Sparse learning has been shown to be effective in solving many real-world problems.
Finding sparse representations is a fundamentally important topic in many fields of science …

Today, medical technology manufacturers enter the service market through the development
of digital service innovations. In the field of audiology, these developments increasingly shift …

Traditional denoising methods based on fixed transforms are not suited for exploiting their
complicated characteristics and attenuating noise due to their lack of adaptability. Recently …

In this paper we describe algorithms to classify environmental sounds with the aim of
providing contextual information to devices such as hearing aids for optimum performance …

Abstract Models of binaural hearing are well established versatile tools for many
technological applications. Traditionally, most of these models are restricted to the …

Sound has been an overlooked modality in visualization. Why? Because it is ephemeral. We
experience it as it happens, often in community with others. Then, the sound is gone …

Efficient methods of biodiversity assessment and monitoring are central to ecological
research and crucial in conservation management; technological advances in remote …