Voice activity detection (VAD) refers to the task of identifying vocal segments from an audio
clip. It helps in reducing the computational overhead as well elevate the recognition …

In the past two decades, wireless sensor networks (WSNs) and their applications have been
the topic of many studies. Different multi-sensor nodes are used to collect, process and …

Background Anorexia nervosa is a severe psychiatric disorder with a heterogeneous course
with one of the highest rates of morbidity and mortality of all psychiatric disorders. Little is …

The knowledge of speech presence probability (SPP) plays an essential role in noise
estimation and speech enhancement. Single channel SPP estimation and centralized multi …

Distributed sparse activity detection in cell-free massive multiple-input multiple-output
(MIMO) systems is considered in this paper. At the beginning of each channel coherence …

We investigate the sparse activity detection problem in cell-free massive multiple-input
multiple-output (MIMO) systems in this paper. With the approximate message passing (AMP) …

In modern data analysis, sparse model selection becomes inevitable once the number of
predictor variables is very high. It is well-known that model selection procedures like the …

Multivariate lesion-symptom mapping (MLSM) considers lesion information across the entire
brain to predict impairments. The strength of this approach is also its weakness …

We propose a robust technique for multi-speaker voice activity detection and source
enumeration in wireless acoustic sensor networks (WASN). The proposed technique first …

DOI: 10.26650/electrica. 2019.18042 This paper proposes a voice activity detection (VAD)
method based on time and spectral domain features using multi-layer feed-forward neural …