Nowadays, the respiratory disease has become one of the most dangerous diseases that
threaten human health, especially in the developing countries. The early diagnosis of …

Speaker verification (SV) has recently attracted considerable research interest due to the
growing popularity of virtual assistants. At the same time, there is an increasing requirement …

Cry is an important signal in early infancy for parents to understand needs of their baby and
thereby to provide timely parenting/soothing or to be reassured. Thanks to the recent …

Spoofing attacks posed by generating artificial speech can severely degrade the
performance of a speaker verification system. Recently, many anti-spoofing …

We present PyMAiVAR, a versatile toolbox that encompasses the generation of image
representations for audio data including Wave plots, Spectral Centroids, Spectral Roll Offs …

Unsupervised anomalous sound detection (ASD) identifies anomalies by learning or
estimating normal operational patterns and detecting deviations. This capability is crucial for …

Voice activity detection (VAD), which classifies frames as speech or non-speech, is an
important module in many speech applications including speaker verification. In this paper …

Existing passive acoustics-based techniques for wind turbine blade damage detection lack
the robustness and adaptability necessary for an operational implementation due to their …

Voice activity detection (VAD) is an essential front-end in many speech applications that
aims at determining the presence or absence of speech signals in an audio frame. However …

Voice activity detection (VAD) is a challenging task in low signal-to-noise ratio (SNR)
environment, especially in non-stationary noise. To deal with this issue, we propose a novel …