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

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

doi:10.1109/ICICI-BME.2009.5417242

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

Rahmat Hidayati^*, I. Ketut Eddy Purnama, Mauridhi Hery Purnomo

^*Corresponding author for this work

Research Center for Artificial Intelligence and Health Technology (KATK)

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

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 language	English
Title of host publication	International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009
DOIs	https://doi.org/10.1109/ICICI-BME.2009.5417242
Publication status	Published - 2009
Event	International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 - Bandung, Indonesia Duration: 23 Nov 2009 → 25 Nov 2009

Publication series

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

Conference

Conference	International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009
Country/Territory	Indonesia
City	Bandung
Period	23/11/09 → 25/11/09

Keywords

Acoustic feature extraction
Clustering
Emotion detection
Infant cry
K-means

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10.1109/ICICI-BME.2009.5417242

Cite this

Hidayati, R., Purnama, I. K. E., & Purnomo, M. H. (2009). The extraction of acoustic features of infant cry for emotion detection based on pitch and formants. In International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 Article 5417242 (International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009). https://doi.org/10.1109/ICICI-BME.2009.5417242

Hidayati, Rahmat ; Purnama, I. Ketut Eddy ; Purnomo, Mauridhi Hery. / The extraction of acoustic features of infant cry for emotion detection based on pitch and formants. International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009. 2009. (International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009).

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title = "The extraction of acoustic features of infant cry for emotion detection based on pitch and formants",

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 feature extraction, Clustering, Emotion detection, Infant cry, K-means",

author = "Rahmat Hidayati and Purnama, {I. Ketut Eddy} and Purnomo, {Mauridhi Hery}",

year = "2009",

doi = "10.1109/ICICI-BME.2009.5417242",

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booktitle = "International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009",

note = "International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 ; Conference date: 23-11-2009 Through 25-11-2009",

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Hidayati, R, Purnama, IKE & Purnomo, MH 2009, The extraction of acoustic features of infant cry for emotion detection based on pitch and formants. in International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009., 5417242, International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009, International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009, Bandung, Indonesia, 23/11/09. https://doi.org/10.1109/ICICI-BME.2009.5417242

The extraction of acoustic features of infant cry for emotion detection based on pitch and formants. / Hidayati, Rahmat; Purnama, I. Ketut Eddy ; Purnomo, Mauridhi Hery.
International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009. 2009. 5417242 (International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Purnama, I. Ketut Eddy

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N2 - 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%.

AB - 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%.

KW - Acoustic feature extraction

KW - Clustering

KW - Emotion detection

KW - Infant cry

KW - K-means

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T3 - International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009

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

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Hidayati R, Purnama IKE , Purnomo MH. The extraction of acoustic features of infant cry for emotion detection based on pitch and formants. In International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009. 2009. 5417242. (International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009). doi: 10.1109/ICICI-BME.2009.5417242

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

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Keywords

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