Currently, there are technology barriers inhibiting speech processing systems working under
extreme noisy conditions. The emerging applications of speech technology, especially in the …

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 …

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 …

Abstract Background Patients in the Intensive Care Unit (ICU) often experience
communication difficulties-usually associated with mechanical ventilation-resulting in …

Deep learning has now become an integral part of today's world and advancement in the
field of deep learning has gained a huge development. Due to the extensive use and fast …

Since 2008, interview-style speech has become an important part of the NIST speaker
recognition evaluations (SREs). Unlike telephone speech, interview speech has lower …

In this paper, we propose a new speech enhancement system using the wavelet
thresholding algorithm. The basic wavelet thresholding algorithm has some defects …

Internet of Things is a critical infrastructure component as well as an enabling technology to
support the fast-develo** cross-region, cross-application, and diversified collaborative …

An effective voice activity detection (VAD) algorithm is proposed for improving speech
recognition performance in noisy environments. The approach is based on the …

Obstructive sleep apnea (OSA) is the most common form of different types of sleep-related
breathing disorders. It is characterized by repetitive cessations of respiratory flow during …