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Mortality Among Children with Tuberculosis in Malaysia
( Maria Kamal ),( Sze Chiang Lui ),( Then Moli Othayamoorthy ),( Mohd Ihsani Mahmood ),( Thiyagar Nadarajaw ),( Raja Aimee Raja Abdullah ),( Jeyaseelan P. Nachiappan ),( Ke Juin Wong ),( Huei Hwen @ A 대한결핵 및 호흡기학회 2023 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.136 No.0
Higher Order Spectra based Features for Infant Cry Signal Classification
( M. Hariharan ),( Yogesh C. K. R. Sindhu ),( Vikneswaran Vijean ),( Haniza Yazid ),( Thiyagar Nadarajaw ),( Kemal Polat ),( Sazali Yaacob ) 한국감성과학회 2017 한국감성과학회 국제학술대회(ICES) Vol.2017 No.-
Crying is an early communication medium for infants. The cry analysis provides an opportunity to assess the physical and pathological status of infants. Several short-term cepstral/spectral features were extracted from the recorded cry signals to detect the reason for crying (hunger, pain, sick condition etc). In this work, Higher order spectra (HOS) based features were proposed to study its efficacy in better representation of cry signals. Statistical features from Bi-spectral plots were derived. Two well-known short-term feature sets known as Mel-frequency cepstral coefficients (MFCCs) and Linear predictive coding based cepstral coefficients (LPCs, Linear predictive cepstral coefficients- LPCCs and weighted LPCCs) were also used. Cry signals from 2 different databases were utilized. Several experiments of twoclass and multi-class classification of cry signals were conducted and the results were reported to demonstrate the effectiveness of the proposed method. The experimental results indicate proposed combination of HOS based features with standard short-term cepstral features help to achieve promosing infant cry classification accuracy.