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Abstract
Oral cavity contains the second largest microbial community in the human body. Due to the highly vascularized feature of mouth, oral microbes could directly access the bloodstream and affect the host healthy systemically. The imbalance of oral microbiota is closely related to various oral and systemic diseases. Green tea extracts (GTE) mainly contain tea polyphenols, alkaloids, amino acid,...
Fatigue, which belongs to human body's natural response and self-regulation for protection, is a complex physiological and mental phenomena. In recent years, a large amount of researchers from both speech signal processing and machine learning domains have already proved that fatigue detection from speech can be carried out automatically. However, the main researches concentrate on driving fatigue...
Fatigue is a complex physiological phenomena which is a kind of human body's natural response and self-regulation for protection. Detection of fatigue is becoming indispensable for its positive significance in scientific physical training. Recently, many researchers from both speech signal area and machine learning area have already shown that automatically fatigue detection from speech can carry...
Generally, the extracted features of distinguishing deceptive speeches always focused on prosodic, vocal tract, lexical and glottal waveform features. The purpose of this paper is to examine the effectiveness of sparse coefficients for deception detection. In this paper, we firstly extract the Mel-Frequency Cepstrum Coefficient (MFCC) and Zero Crossing Rate (ZCR) from speech utterances as the input...
Deception detection is becoming indispensable to a growing number of applications in law enforcement and other government agencies. Recently, many researchers from both speech signal area and machine learning area have already shown that automatically deception detection from speech is promising. While there are a large amount of research works on English deception detection, few efforts have been...
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