Emergence of linguistic laws in human voice
October 09, 2016 Β· Declared Dead Β· π Scientific Reports
"No code URL or promise found in abstract"
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Authors
Ivan Gonzalez Torre, Bartolo Luque, Lucas Lacasa, Jordi Luque, Antoni Hernandez-Fernandez
arXiv ID
1610.02736
Category
physics.soc-ph
Cross-listed
cs.CL
Citations
24
Venue
Scientific Reports
Last Checked
3 months ago
Abstract
Linguistic laws constitute one of the quantitative cornerstones of modern cognitive sciences and have been routinely investigated in written corpora, or in the equivalent transcription of oral corpora. This means that inferences of statistical patterns of language in acoustics are biased by the arbitrary, language-dependent segmentation of the signal, and virtually precludes the possibility of making comparative studies between human voice and other animal communication systems. Here we bridge this gap by proposing a method that allows to measure such patterns in acoustic signals of arbitrary origin, without needs to have access to the language corpus underneath. The method has been applied to six different human languages, recovering successfully some well-known laws of human communication at timescales even below the phoneme and finding yet another link between complexity and criticality in a biological system. These methods further pave the way for new comparative studies in animal communication or the analysis of signals of unknown code.
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