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

Depression is a serious mental disorder that has received increased attention from society.
Due to the advantage of easy acquisition of speech, researchers have tried to propose …

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 …

Mostly, artificial intelligence does not show any definite change in emotions. For this reason,
it is hard to demonstrate empathy in communication with humans. If frequency modification …

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

Voice Activity Detection (VAD) aims at detecting speech segments on an audio signal, which
is a necessary first step for many today's speech based applications. Current state-of-the-art …

Unlike able-bodied persons, it is difficult for visually impaired people, especially those in the
educational age, to build a full perception of the world due to the lack of normal vision. The …

We present a novel personalized voice activity detection (PVAD) learning method that does
not require enrollment data during training. PVAD is a task to detect the speech segments of …

We propose a novel voice activity detection (VAD) model in a low-resource environment.
Our key idea is to model VAD as a denoising task and construct a network that is designed …

To better model the contextual information and increase the generalization ability of Speech
Activity Detection (SAD) system, this paper leverages a multi-lingual Automatic Speech …