Over the past decades, a tremendous amount of research has been done on the use of
machine learning for speech processing applications, especially speech recognition …

Speaker diarization is a task to label audio or video recordings with classes that correspond
to speaker identity, or in short, a task to identify “who spoke when”. In the early years …

Voice assistants (VA) have become prevalent on a wide range of personal devices such as
smartphones and smart speakers. As companies build voice assistants with extra …

YouTube is a highly visited video sharing website where over one billion people watch six
billion hours of video every month. Improving accessibility to these videos for the hearing …

Voice activity detection (VAD) classifies incoming signal segments into speech or
background noise; its performance is crucial in various speech-related applications …

Voice activity detection is an essential pre-processing component for speech-related tasks
such as automatic speech recognition (ASR). Traditional supervised VAD systems obtain …

Speech activity detection (SAD) is an essential component of automatic speech recognition
systems impacting the overall system performance. This paper investigates an optimization …

Spontaneous conversations in real-world settings such as those found in child-centered
recordings have been shown to be amongst the most challenging audio files to process …

This paper integrates a voice activity detection (VAD) function with end-to-end automatic
speech recognition toward an online speech interface and transcribing very long audio …

This paper presents a new hybrid architecture for voice activity detection (VAD)
incorporating both convolutional neural network (CNN) and bidirectional long short-term …