naa a22 4500 510776426 CHVBK 20180411083231.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.3758/s13428-012-0222-0 doi (NATIONALLICENCE)springer-10.3758/s13428-012-0222-0 Fluency Profiling System: An automated system for analyzing the temporal properties of speech [Elektronische Daten] [Daniel Little, Raoul Oehmen, John Dunn, Kathryn Hird, Kim Kirsner] The temporal characteristics of speech can be captured by examining the distributions of the durations of measurable speech components, namely speech segment durations and pause durations. However, several barriers prevent the easy analysis of pause durations: The first problem is that natural speech is noisy, and although recording contrived speech minimizes this problem, it also discards diagnostic information about cognitive processes inherent in the longer pauses associated with natural speech. The second issue concerns setting the distribution threshold, and consists of the problem of appropriately classifying pause segments as either short pauses reflecting articulation or long pauses reflecting cognitive processing, while minimizing the overall classification error rate. This article describes a fully automated system for determining the locations of speech-pause transitions and estimating the temporal parameters of both speech and pause distributions in natural speech. We use the properties of Gaussian mixture models at several stages of the analysis, in order to identify theoretical components of the data distributions, to classify speech components, to compute durations, and to calculate the relevant statistics. Psychonomic Society, Inc., 2012 Natural speech nationallicence Pause durations nationallicence Little Daniel Psychological Sciences, University of Melbourne, 3010, Parkville, Victoria, Australia aut Oehmen Raoul University of Western Australia, Crawley, Western Australia aut Dunn John University of Adelaide, Adelaide, South Australia aut Hird Kathryn University of Western Australia, Crawley, Western Australia aut Kirsner Kim University of Western Australia, Crawley, Western Australia aut Behavior Research Methods Springer-Verlag 45/1(2013-03-01), 191-202 45:1<191 2013 45 13428 https://doi.org/10.3758/s13428-012-0222-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.3758/s13428-012-0222-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Little Daniel Psychological Sciences, University of Melbourne, 3010, Parkville, Victoria, Australia aut NATIONALLICENCE 700 1- Oehmen Raoul University of Western Australia, Crawley, Western Australia aut NATIONALLICENCE 700 1- Dunn John University of Adelaide, Adelaide, South Australia aut NATIONALLICENCE 700 1- Hird Kathryn University of Western Australia, Crawley, Western Australia aut NATIONALLICENCE 700 1- Kirsner Kim University of Western Australia, Crawley, Western Australia aut NATIONALLICENCE 773 0- Behavior Research Methods Springer-Verlag 45/1(2013-03-01), 191-202 45:1<191 2013 45 13428 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer