Evidence map›Paper›PMID 28272418›Full record

ArticleScientific reports2017

Emergence of linguistic laws in human voice.

Iván González Torre, Bartolo Luque, Lucas Lacasa, Jordi Luque, Antoni Hernández-Fernández

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  4. From Boltzmann to Zipf through Shannon and Jaynes.Entropy (Basel, Switzerland) · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Iván González TorreDepartment of Applied Mathematics and Statistics, EIAE, Technical University of Madrid, Plaza Cardenal Cisneros, 28040, Madrid, Spain.
Bartolo LuqueDepartment of Applied Mathematics and Statistics, EIAE, Technical University of Madrid, Plaza Cardenal Cisneros, 28040, Madrid, Spain.
Lucas LacasaSchool of Mathematical Sciences, Queen Mary University of London, Mile End Road, E14NS, London, UK.
Jordi LuqueTelefonica Research, Edificio Telefonica-Diagonal 00, Barcelona, Spain.
Antoni Hernández-FernándezComplexity and Quantitative Linguistics Lab, Laboratory for Relational Algorithmics, Complexity and Learning (LARCA), Institut de Ciències de l'Educació, Universitat Politècnica de Catalunya, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 sixteen 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.

Indexed as

CommunicationLanguageVoiceAlgorithmsAnimal CommunicationAnimalsHumansLinguisticsModels, Theoretical

Identifiers

PMID28272418
PMCPMC5341060

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.