Speech separation is the task of separating target speech from background interference.
Traditionally, speech separation is studied as a signal processing problem. A more recent …

Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …

Keyword spotting (KWS) constitutes a major component of human-technology interfaces.
Maximizing the detection accuracy at a low false alarm (FA) rate, while minimizing the …

Mel-filterbanks are fixed, engineered audio features which emulate human perception and
have been used through the history of audio understanding up to today. However, their …

Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …

Passive acoustic monitoring is a well-established tool for researching the occurrence,
movements, and ecology of a wide variety of marine mammal species. Advances in …

Depression, as a global mental health problem, is lacking effective screening methods that
can help with early detection and treatment. This paper aims to facilitate the large-scale …

The number of publications on acoustic scene classification (ASC) in environmental audio
recordings has constantly increased over the last few years. This was mainly stimulated by …

This paper addresses the problem of species classification in bird song recordings. The
massive amount of available field recordings of birds presents an opportunity to use …

While using two-dimensional convolutional neural networks (2D-CNNs) in image
processing, it is possible to manipulate domain information using channel statistics, and …