Automatic motherese detection for face-to-face interaction analysis

A. Mahdhaoui, M. Chetouani, C. Zong, R. S. Cassel, C. Saint-Georges, M. C. Laznik, S. Maestro, F. Apicella, [No Value] MuratoriF., D. Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper deals with emotional speech detection in home movies. In this study, we focus on infant-directed speech also called "motherese" which is characterized by higher pitch, slower tempo, and exaggerated intonation. In this work, we show the robustness of approaches to automatic discrimination between infant-directed speech and normal directed speech. Specifically, we estimate the generalization capability of two feature extraction schemes extracted from supra-segmental and segmental information. In addition, two machine learning approaches are considered: k-nearest neighbors (k-NN) and Gaussian mixture models (GMM). Evaluations are carried out on real-life databases: home movies of the first year of an infant.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages248-255
Number of pages8
Volume5398 LNAI
DOIs
Publication statusPublished - 2009
EventCOST Action 2102 and euCognition International School on Multimodal Signals: Cognitive and Algorithmic Issues - Vietri sul Mare, Italy
Duration: Apr 21 2008Apr 26 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5398 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherCOST Action 2102 and euCognition International School on Multimodal Signals: Cognitive and Algorithmic Issues
CountryItaly
CityVietri sul Mare
Period4/21/084/26/08

Keywords

  • feature and classifier fusion
  • Motherese detection

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Mahdhaoui, A., Chetouani, M., Zong, C., Cassel, R. S., Saint-Georges, C., Laznik, M. C., Maestro, S., Apicella, F., MuratoriF., N. V., & Cohen, D. (2009). Automatic motherese detection for face-to-face interaction analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5398 LNAI, pp. 248-255). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5398 LNAI). https://doi.org/10.1007/978-3-642-00525-1_25