An automatic child-directed speech detector for the study of child language development
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vosoughi_interspeech2012.pdf
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Author(s) •
Vosoughi, Soroush
Roy, Deb K
Date Issued
September 2012
Journal
Proceedings of the 13th Annual Conference of the International Speech Communication Association
Publisher
International Speech Communication Association
Citation
Vosoughi, Soroush, Deb Roy. "An Automatic Child-Directed Speech Detector for the Study of Child Language Development." In The 13th Annual Conference of the International Speech Communication Association, Interspeech 2012, September 9-13, 2012, Portland, Oregon.
Version
Author's final manuscript
Abstract
In this paper, we present an automatic child-directed speech detection system to be used in the study of child language development. Child-directed speech (CDS) is speech that is directed by caregivers towards infants. It is not uncommon for corpora used in child language development studies to have a combination of CDS and non-CDS. As the size of the corpora used in these studies grow, manual annotation of CDS becomes impractical. Our automatic CDS detector addresses this issue. The focus of this paper is to propose and evaluate different sets of features for the detection of CDS, using several offthe-shelf classifiers. First, we look at the performance of a set of acoustic features. We continue by combining these acoustic features with several linguistic and eventually contextual features. Using the full set of features, our CDS detector was able to correctly identify CDS with an accuracy of.88 and F1 score of.87 using Naive Bayes. Index Terms: motherese, automatic, child-directed speech, infant-directed speech, adult-directed speech, prosody, language development.
Description
http://interspeech2012.org/accepted-abstract.html?id=210
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.261.3433