A robust and language agnostic Voice Activity Detection (VAD) is crucial for Digital
Entertainment Content (DEC). Primary examples of DEC include movies and TV series …

Abstract Autism Spectrum Disorder (ASD), a neurodevelopmental disability, has become
one of the high incidence diseases among children. Studies indicate that early diagnosis …

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 …

Deep learning has revolutionized voice activity detection (VAD) by offering promising
solutions. However, directly applying traditional features, such as raw waveforms and Mel …

Voice activity detection (VAD) based on deep neural networks (DNN) have demonstrated
good performance in adverse acoustic environments. Current DNN-based VAD optimizes a …

Recent studies have reported the success of multi-scale convolution neural network
(MSConvNet) model for many classification applications due to its powerful ability of …

Recent studies have reported that the performance of Automatic Speech Recognition (ASR)
technologies designed for normal speech notably deteriorates when it is evaluated by …

Voice activity detection (VAD) based on deep learning has achieved remarkable success.
However, when the traditional features (eg, raw waveforms and MFCCs) are directly fed to …

Recently, the Muscle-Computer Interface (MCI) has been extensively popular for employing
Electromyography (EMG) signals to help the development of various assistive devices …

An audio processing device or method includes an audio transducer operable to receive
audio input and generate an audio signal based on the audio input. The audio processing …