Automatic infant cry detection

G. Várallyay, András Illényi, Zoltán Benyó

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

8 Citations (Scopus)

Abstract

Cry detection can be defined as a procedure where the voiced crying sounds are selected from the recording. The most difficult part of the cry detection is to recognize the inspiratory sounds and separate them from the voiced sounds. In addition, sound recordings may come from different places and recorded with several devices, in this way the method of the cry detection has to be universal. Authors created the Extended Harmonic Product Spectrum method to classify the spectral structure of a given signal. Based on this new method authors developed the Automatic Infant Cry Detection (AICD) system to detect voiced cry sounds in any kind of recording.

Original languageEnglish
Title of host publicationModels and Analysis of Vocal Emissions for Biomedical Applications - 6th International Workshop, MAVEBA 2009
EditorsClaudia Manfredi
PublisherFirenze University Press
Pages11-14
Number of pages4
ISBN (Electronic)9788864530963
Publication statusPublished - Jan 1 2009
Event6th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2009 - Firenze, Italy
Duration: Dec 14 2009Dec 16 2009

Publication series

NameModels and Analysis of Vocal Emissions for Biomedical Applications - 6th International Workshop, MAVEBA 2009

Other

Other6th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2009
CountryItaly
CityFirenze
Period12/14/0912/16/09

    Fingerprint

Keywords

  • Cry detection
  • Extended harmonic product spectrum
  • Infant cry

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Science Applications

Cite this

Várallyay, G., Illényi, A., & Benyó, Z. (2009). Automatic infant cry detection. In C. Manfredi (Ed.), Models and Analysis of Vocal Emissions for Biomedical Applications - 6th International Workshop, MAVEBA 2009 (pp. 11-14). (Models and Analysis of Vocal Emissions for Biomedical Applications - 6th International Workshop, MAVEBA 2009). Firenze University Press.