This paper gives an overview of automatic speaker recognition technology, with an
emphasis on text-independent recognition. Speaker recognition has been studied actively …

Speaker Identification (SI) is the process of identifying the speaker from a given utterance by
comparing the voice biometrics of the utterance with those utterance models stored …

Signed languages are the primary means of communication for many deaf and hard of
hearing individuals. Since signed languages exhibit all the fundamental linguistic properties …

Fusing the advantages of multiple acoustic features is important for the robustness of voice
activity detection (VAD). Recently, the machine-learning-based VADs have shown a …

A novel, data-driven approach to voice activity detection is presented. The approach is
based on Long Short-Term Memory Recurrent Neural Networks trained on standard RASTA …

An important drawback affecting most of the speech processing systems is the
environmental noise and its harmful effect on the system performance. Examples of such …

Effective speech activity detection (SAD) is a necessary first step for robust speech
applications. In this letter, we propose a robust and unsupervised SAD solution that …

We propose a novel long-term signal variability (LTSV) measure, which describes the
degree of nonstationarity of the signal. We analyze the LTSV measure both analytically and …

The QUT-NOISE-TIMIT corpus consists of 600 hours of noisy speech sequences designed to
enable a thorough evaluation of voice activity detection (VAD) algorithms across a wide …

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