Purpose: Attention deficit hyperactivity disorder (ADHD) is a neuropsychiatric that impacts an individual’s ability to maintain attention span and focus their concentration at normal level. While ADHD one of the most well studied behavioral disorders, multiple researchers have stated need for further research on effects participation in sports. Therefore, purpose this study was describe prevale...

Scalable and robust nonnegative matrix factorization (NMF) algorithms and software are needed for the generation of feature vectors from text corpora. By preserving nonnegativity, the NMF facilitates a sum-of-parts representation of the underlying term usage patterns in textual data. Both training and test sets of documents can be parsed and then factored by the NMF to produce a reduced-rank re...

Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational cost. This paper posits that these methods can be extremely useful for understanding large collections of text documents, without requiring user expertise in machine learning. Our approach relies on three main ingredients: (a) multi-d...

The Center for Integrated Acoustic Information Research (CIAIR) at Nagoya University has been collecting speech corpora in moving cars which are made available as resources to advance the research and development of robust ASRs and spoken dialogue systems under high-noise conditions. The speech corpus consists of (1) phonetically balanced sentences, (2) digit strings, (3) discrete words and (4)...

The main objective of this study was to analyze anomalies voluntarily reported by pilots in civil aviation sector and identify factors leading to such anomalies. Experimental data were obtained from the NASA aviation safety reporting system (ASRS) database. These data contained a range of text records spanning 30 years of civilian aviation, both commercial (airline operations) and general aviat...

This paper describes the hybridization of an evolutionary algorithm with a greedy algorithm to solve a job-shop problem with recirculation. We model a real problem that arises within the domain of loads’ dispatch inside an automatic warehouse. The evolutionary algorithm is based on random key representation. It is very easy to implement and allows the use of conventional genetic operators for c...

While the smart home domain has become a major field of application of ICT to improve support and wellness of people in loss of autonomy, speech technology in smart home has, comparatively to other ICTs, received limited attention. This paper presents the SWEET-HOME project whose aim is to make it possible for frail persons to control their domestic environment through voice interfaces. Several...

The choice of speech unit affects the accuracy, complexity, expandability and ease of adaptation of ASRs to speaker and environmental variations. This paper explores a method of subword modelling based on the concept of multi-phone strings. The motivation in using the longer duration multi-phone strings is to reduce the loss of contextual information, cross-phone correlation, and transitions. M...

Connecting automatic speech recognizers (ASRs) and language analyzers is difficult since they may be based on differences in part-of-speech (POS) systems; the latter cannot directly analyze the outputs of the former. In addition, in unsegmented languages such as Japanese, the ASR outputs are likely to have different word segmentation from that of the language analyzer inputs because they are in...