Popular music is often composed of an accompaniment and a lead component, the latter
typically consisting of vocals. Filtering such mixtures to extract one or both components has …

Many emerging communication applications transmit packets with small payloads, yet
require rich metadata context for the proper functioning of the various involved protocol …

This article addresses the problem of multichannel audio source separation. We propose a
framework where deep neural networks (DNNs) are used to model the source spectra and …

The machine recognition of speech spoken at a distance from the microphones, known as
far-field automatic speech recognition (ASR), has received a significant increase in attention …

This paper deals with the extraction of an instrument from music by using a deep neural
network. As prior information, we only assume to know the instrument types that are present …

Respiratory symptoms can be caused by different underlying conditions, and are often
caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the …

The ASA Press imprint represents a collaboration between the Acoustical Society of America
and Springer dedicated to encouraging the publication of important new books in acoustics …

Radio-frequency interference is a growing concern as wireless technology advances, with
potentially life-threatening consequences like interference between radar altimeters and 5 G …

In an underdetermined mixture system with n unknown sources, it is a challenging task to
separate these sources from their m observed mixture signals, where mn By exploiting the …

Diabetic retinopathy is one of the major causes of blindness in the world. Early diagnosis of
this disease is vital to the prevention of visual loss. The analysis of retinal lesions such as …