Distant-microphone automatic speech recognition (ASR) remains a challenging goal in
everyday environments involving multiple background sources and reverberation. This …

Various types of methods and approaches are available to predict the intelligibility of speech
signals, but many of these still suffer from two major problems: first, their required prior …

An accurate objective prediction of human speech intelligibility is of interest for many
applications such as the evaluation of signal processing algorithms. To predict the speech …

Surveillance systems based on image analysis can automatically detect road accidents to
ensure a quick intervention by rescue teams. However, in some situations, the visual …

To test if simultaneous spectral and temporal processing is required to extract robust
features for automatic speech recognition (ASR), the robust spectro-temporal two …

Speech separation remains an important topic for multispeaker technology researchers.
Convolution augmented transformers (conformers) have performed well for many speech …

A framework for simulating auditory discrimination experiments, based on an approach from
Schädler, Warzybok, Hochmuth, and Kollmeier [(2015). Int. J. Audiol. 54, 100–107] which …

The human ability to classify acoustic sounds is still unmatched compared to recent methods
in machine learning. Psychoacoustic and physiological studies indicate that the auditory …

Many societies across the world are confronted with demographic changes, usually related
to increased life expectancy and, often, relatively low birth rates. Information and …

This paper presents main paradigms of research for feature extraction methods to further
augment the state of art in speaker recognition (SR) which has been recognized extensively …