NDLI: An investigation into classification of infant cries using modified signal processing methods

Content Provider	IEEE Xplore Digital Library
Author	Asthana, S. Varma, N. Mittal, V.K.
Copyright Year	2015
Description	Author affiliation: LNM Inst. of Inf. Technol., Jaipur, India (Asthana, S.; Varma, N.) \|\| Indian Inst. of Inf. Technol., Sri City, India (Mittal, V.K.)
Abstract	Infant cry is a biological signal through which an infant communicates with its care-giving environment. It also contains valuable information about the state of the infant. Infants produce this sound in response to a stimuli, which could be pain, discomfort, emotional need of attention, ailment, environmental factors or hunger/thirst. Signal processing methods that work well for adults are not adequate in the case of infants. In order to analyze the infant cry signals, these methods require some modifications. Signal processing methods such as short-time Fourier transform, auto-correlation and linear prediction analysis are modified and used. Features such as frame-energy and fundamental frequency are extracted from the cry signal. An Infant Cry and Causes (ICC) database especially collected for the study is used. Ground truth information about the fundamental frequency $(F_{0})$ is obtained using the spectrograms. The fluctuations in $F_{0}$ are examined using mean and standard deviation, for different causes of cry. The results about fluctuations in $F_{0}$ obtained from three different signal processing methods are compared. Objective is to classify the infant cry sounds into different categories of causes, based on the features derived from the infant cry signal. The results of the limited analysis are encouraging.
Starting Page	679
Ending Page	684
File Size	254371
Page Count	6
File Format	PDF
e-ISBN	9781479959914
DOI	10.1109/SPIN.2015.7095282
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Causes of infants cry ICC database Pediatrics Pain Databases Normalized fluctuation Speech Analysis of infant cry signal Spectrogram
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Preliminary analysis of causes of infant cry

Automatic classification of infant cry: A review

Infant cry classification: Time frequency analysis

Characterization of infant cries using spectral and prosodic features

Acoustic analysis of the infant cry: classical and new methods

An investigation into infant cry and Apgar score using principle component analysis

Classification of infant cry vocalizations using artificial neural networks (ANNs)

Classification of infant cries using epoch and spectral features

Classification of normal and pathological infant cries using bispectrum features

An investigation into classification of infant cries using modified signal processing methods

Similar Documents

Preliminary analysis of causes of infant cry

Automatic classification of infant cry: A review

Infant cry classification: Time frequency analysis

Characterization of infant cries using spectral and prosodic features

Acoustic analysis of the infant cry: classical and new methods

An investigation into infant cry and Apgar score using principle component analysis

Classification of infant cry vocalizations using artificial neural networks (ANNs)

Classification of infant cries using epoch and spectral features

Classification of normal and pathological infant cries using bispectrum features

An investigation into classification of infant cries using modified signal processing methods