• Yogesh Kumar Mishra
• Prof. Jai Prakash Saini

Detection of the infant’s cry signal is important because of the fact that infants convey the information only through cry signal. There are two major class of cry signal identified as pain and hunger cry. The detection of the pain cry signal is crucially important as cries are used for clinical purposes to diagnose several pathological states such as chromosomal abnormalities, brain damage, and sudden infant death syndrome (SID). Here neural has been used for the detection of the pain cry signal to success rate worth mentioning accuracy of 96.4%.

Infant’s Cry, Neural Network, LPC, Supervised Learning Algorithm

"Inferring Random Cry Signal: A Neural Network Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.612-614, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805704.pdf

"Inferring Random Cry Signal: A Neural Network Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp612-614, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805704.pdf