Chee Cheun Huang

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Forensic voice comparison (FVC) systems have often involved manual annotation of usable phonetic units, requiring substantial human labor. Recent research has shown the efficacy of automatic methods in FVC, and this paper investigates automatic phonetic segmentation in FVC systems. Nasals and vowels were found to contribute the most in terms of improvements(More)
BACKGROUND Although fecal occult blood test and invasive endoscopic examination are common used to detect colorectal adenomas and cancers, non-invasive and specific biomarkers are still under investigation. The objective is to evaluate the biomarker CYP1B1 alone or in combination with aryl hydrocarbon receptor (AhR), nuclear beta-catenin, p53 or bcl-2 for(More)
Automatic forensic voice comparison (FVC) studies have often employed Gaussian Mixture Model - Universal Background Model (GMM-UBM) modeling based on mean-only maximum a posteriori (MAP) adaptation or full MAP adaptation with little consideration of other variants of MAP adapted configurations. Our study indicates that an FVC system improvement in(More)
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