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In this paper, 1-D Local binary patterns (LBP) are proposed to be used in speech signal segmentation and voice activation detection (VAD)and combined with hidden Markov model (HMM) for advanced speech recognition. Speech is firstly de-noised by Adaptive Empirical Model Decomposition (AEMD), and then processed using LBP based VAD. The short-time energy of(More)
In this paper, Kinect based sensors are used to enable automatic animal detection for monitoring and assessment the growth of livestock. Benefitted from the fast developing 3-D machine vision devices and techniques, it is liable to detect the object using the point cloud data. In the present work, a Kinect sensor is installed on the roof of the pig pen to(More)
Improved automatic speech recognition (ASR) in babble noise conditions continues to pose major challenges. In this paper, we propose a new local binary pattern (LBP) based speech presence indicator (SPI) to distinguish speech and non-speech components. Babble noise is subsequently estimated using recursive averaging. In the speech enhancement system(More)
Although immuno-inflammatory response contributes to pathogenesis of AF, molecular and cellular mechanism in this process remains poorly understood. Recently, increasing evidence suggests that Programmed death-1 (PD-1)/PD-1 ligand (PD-L) pathway may be a potential pathway participating in AF pathogenesis. In this study, we detected the PD-1 and PD-L1, 2(More)
The aim of this study was to investigate the association between peroxisome proliferator-activator receptor-γ (PPAR-γ) genotype and additional gene-smoking interaction on cardiovascular disease (CVD) based on a Chinese population. A total of 1248 subjects (613 men, 635 women), with a mean age of 55.5±11.8 years old, were selected, including 620 CVD patients(More)
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