The extraction of acoustic features of infant cry for emotion detection based on pitch and formants

Author

Hidayati, Rahmat ; Purnama, I. Ketut Eddy ; Purnomo, Mauridhi Hery

Author_Institution

Dept. of Electr. Eng., ITS, Surabaya, Indonesia

fYear

2009

fDate

23-25 Nov. 2009

Firstpage

1

Lastpage

5

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%.

Keywords

acoustic measurement; biomedical measurement; emotion recognition; feature extraction; medical signal processing; paediatrics; K-means algorithm; acoustic feature vectors; anger; emotion detection; fear; feature extraction; formants; hunger; infant cry; pain; pitch; sadness; Acoustic signal detection; Audio recording; Cepstrum; Clustering algorithms; Feature extraction; Filters; Humans; Muscles; Pain; Sampling methods; Acoustic Feature Extraction; Clustering; Emotion Detection; Infant Cry; K-Means;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 International Conference on

Conference_Location

Bandung

Print_ISBN

978-1-4244-4999-6

Electronic_ISBN

978-1-4244-5000-8

Type

conf

DOI

10.1109/ICICI-BME.2009.5417242

Filename

5417242