In this paper, we present an overview on the topic of noise reduction in the short-time Fourier
transform (STFT) domain. First, we briefly review the conventional literature in the single-and …

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 …

Voice activity detection (VAD) is an important topic in audio signal processing. Contextual
information is important for improving the performance of VAD at low signal-to-noise ratios …

Abstract The quality of Speech Recognition systems has improved, with a shift focus from
short utterance scenarios like Voice Assistants and Voice Search to extended utterance …

Facial/voice-based authentication is becoming increasingly popular (eg, already adopted by
MasterCard and AliPay), because it is easy to use. In particular, users can now authenticate …

This paper represents an unsupervised approach to detect the positions of S1, S2 heart
sound events in a Phonocardiogram (PCG) recording. Insufficiency of correctly annotated …

Voice activity detection (VAD) is an important frontend of many speech processing systems.
In this paper, we describe a new VAD algorithm based on boosted deep neural networks …

Voice activity detection (VAD) can be used to distinguish human speech from other sounds,
and various applications can benefit from VAD-including speech coding and speech …

The performance of traditional voice activity detectors significantly deteriorates in the
presence of highly nonstationary noise and transient interferences. One solution is to …

We address voice activity detection in acoustic environments of transients and stationary
noises, which often occur in real-life scenarios. We exploit unique spatial patterns of speech …