BACKGROUND Trust as a measure of social capital has been documented to be associated with health. Mediating factors for this association are not well investigated. Harmful alcohol consumption is believed to be one of the mediating factors. We hypothesized that low social capital defined as low institutional trust is associated with harmful alcohol consumption. METHODS Data from the 2006 Swedi...

In this paper we explore the use of lexical information for language identification (LID). Our reference LID system uses language-dependent acoustic phone models and phone-based bigram language models. For each language, lexical information is introduced by augmenting the phone vocabulary with the N most frequent words in the training data. Combined phone and word bigram models are used to prov...

BACKGROUND Increasing alcohol consumption and related harms have been reported among the elderly population of Europe. Consequently, it is important to monitor patterns of alcohol use, and to use a valid and reliable tool when screening for risky consumption in this age group. The aim was to evaluate the internal consistency reliability and construct validity of the Alcohol Use Disorders Identi...

Since February 91, the ATIS database has been updated and, in an effort to quickly collect a larger amount of training and test data, a concerted effort has taken place in collecting data at five different sites (AT&T, BBN, CMU, MIT, and SRI). (See [1] for details.) About 10,000 spontaneous utterances were collected, of which about half were annotated (text transcriptions, reference answers, et...

Software testing requires executing software under test with the intention of finding defects as much as possible. Test case generation remains the most dominant research in software testing. The technique used in generating test cases may lead to effective and efficient software testing process. Many techniques have been proposed to generate test cases. One of them is State Sensitivity Partiti...

In this paper we present the first recognition experiments on a multilingual speech corpus, designed for Automatic Speech Recognition (ASR) and Language IDentification (LID) purposes. Data come from the portal Euronews and were acquired both from the Web and from TV. The corpus includes data in 10 languages (Arabic, English, French, German, Italian, Polish, Portuguese, Russian, Spanish and Turk...

The paper outlines a supervised approach to language identification in code-switched data, framing this as a sequence labeling task where the label of each token is identified using a classifier based on Conditional Random Fields and trained on a range of different features, extracted both from the training data and by using information from Babelnet and Babelfy. The method was tested on the de...

This paper investigates the use of heterogeneous speech corpora for automatic assessment of personality traits in terms of the BigFive OCEAN dimensions. The motivation for this work is twofold: the need to develop methods to overcome the lack of children’s speech corpora, particularly severe when targeting personality traits, and the interest on cross-age comparisons of acoustic-prosodic featur...