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Self-organization of early vocal development in infants and machines: the role of intrinsic motivation

Overview of attention for article published in Frontiers in Psychology, January 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
Self-organization of early vocal development in infants and machines: the role of intrinsic motivation
Published in
Frontiers in Psychology, January 2014
DOI 10.3389/fpsyg.2013.01006
Pubmed ID
Authors

Clément Moulin-Frier, Sao M. Nguyen, Pierre-Yves Oudeyer

Abstract

vocal development and intrinsic motivation. We propose and experimentally test the hypothesis that general mechanisms of intrinsically motivated spontaneous exploration, also called curiosity-driven learning, can self-organize developmental stages during early vocal learning. We introduce a computational model of intrinsically motivated vocal exploration, which allows the learner to autonomously structure its own vocal experiments, and thus its own learning schedule, through a drive to maximize competence progress. This model relies on a physical model of the vocal tract, the auditory system and the agent's motor control as well as vocalizations of social peers. We present computational experiments that show how such a mechanism can explain the adaptive transition from vocal self-exploration with little influence from the speech environment, to a later stage where vocal exploration becomes influenced by vocalizations of peers. Within the initial self-exploration phase, we show that a sequence of vocal production stages self-organizes, and shares properties with data from infant developmental psychology: the vocal learner first discovers how to control phonation, then focuses on vocal variations of unarticulated sounds, and finally automatically discovers and focuses on babbling with articulated proto-syllables. As the vocal learner becomes more proficient at producing complex sounds, imitating vocalizations of peers starts to provide high learning progress explaining an automatic shift from self-exploration to vocal imitation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Spain 1 <1%
Unknown 109 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 30%
Student > Master 19 17%
Researcher 13 12%
Student > Bachelor 9 8%
Student > Doctoral Student 9 8%
Other 9 8%
Unknown 19 17%
Readers by discipline Count As %
Computer Science 23 21%
Psychology 19 17%
Neuroscience 11 10%
Linguistics 8 7%
Engineering 7 6%
Other 23 21%
Unknown 21 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 December 2021.
All research outputs
#3,926,417
of 22,660,862 outputs
Outputs from Frontiers in Psychology
#6,599
of 29,342 outputs
Outputs of similar age
#47,273
of 304,935 outputs
Outputs of similar age from Frontiers in Psychology
#70
of 182 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 304,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.