Abstract

In this paper, we present the development of a system for translating the normal infant cries, which come from pain, sadness, hunger, fear and anger cry sounds, of ages from one day up to nine months old. The aim of this research is to analyse the sound of the crying infant, and to derive the reason why the infant is crying. In this experiment we used acoustic features characteristic determined by pitch and formants. The acoustic feature vectors are then clustered using K-means algorithm to determine the class or the reason of the cry. The proposed system perform well with the maximum accuracy of 90%.

Original languageEnglish
Title of host publicationInternational Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009
DOIs
Publication statusPublished - 2009
EventInternational Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 - Bandung, Indonesia
Duration: 23 Nov 200925 Nov 2009

Publication series

NameInternational Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009

Conference

ConferenceInternational Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009
Country/TerritoryIndonesia
CityBandung
Period23/11/0925/11/09

Keywords

  • Acoustic feature extraction
  • Clustering
  • Emotion detection
  • Infant cry
  • K-means

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