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Hidden Markov model speech recognition systems typically use Gaussian mixture models to estimate the distributions of decor-related acoustic feature vectors that correspond to individual sub-word units. By contrast, hybrid connectionist-HMM systems use discriminatively-trained neural networks to estimate the probability distribution among subword units(More)
Hidden Markov model speech recognition systems typically use Gaussian mixture models to estimate the distributions of decor-related acoustic feature vectors that correspond to individual sub-word units. By contrast, hybrid connectionist-HMM systems use discriminatively-trained neural networks to estimate the probability distribution among subword units(More)
We evaluate the performance of several feature sets on the AURORA task as defined by ETSI. We show that after a non-linear transformation, a number of features can be effectively used in a HMM-based recognition system. The non-linear transformation is computed using a neural network which is discriminatively trained on the phonetically labeled (forcibly(More)
The objective of the study was to determine the degree of adherence to the Food Guide Pyramid recommendations among African Americans, Latinos born in the United States, and Latinos born in Mexico. Subjects were from the Multiethnic Cohort Study in Hawaii and Los Angeles, and completed a self-administered quantitative food frequency questionnaire at(More)
The aims of the present study were to (1) characterise the diets of adult Inuit; (2) highlight foods for a nutritional and lifestyle intervention programme; (3) develop a quantitative FFQ (QFFQ) to evaluate the programme and monitor changes in dietary intake in this population over time. A dietary survey using single 24-h dietary recalls was conducted among(More)
OBJECTIVE While corner store-based nutrition interventions have emerged as a potential strategy to increase healthy food availability in low-income communities, few evaluation studies exist. We present the results of a trial in Baltimore City to increase the availability and sales of healthier food options in local stores. DESIGN Quasi-experimental study.(More)
BACKGROUND Existing evidence indicates that Inuit in Arctic Canada are undergoing a lifestyle transition leading to decreased physical activity (PA) and increased body mass index (BMI). Data specific to PA and BMI amongst Inuit in Nunavut, Canada, are currently limited. The present study aimed to characterise current PA and BMI levels in a sample of Inuit(More)
OBJECTIVES To: 1) characterize diet in Inuvialuit; 2) determine the foods and nutrients to be targeted for a nutritional intervention program; and 3) develop a Quantitative Food Frequency Questionnaire (QFFQ) to evaluate the program and monitor nutrition transition for Inuvialuit in the Northwest Territories (NWT), Canada. METHODS Twenty-four-hour dietary(More)