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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Identification and Classification of Baby Cry Sound Patterns for Infant Monitoring |
| Authors Name: | Veeresh Boragi , Kalmesh Badiger , Shrinivas Kadiwal , Amit Ambaji Sawant , M C Aralimarad |
| Unique Id: | IJSDR2306107 |
| Published In: | Volume 8 Issue 6, June-2023 |
| Abstract: | Baby cry detection involves tracking down and analysing a baby's cries to keep an eye on them and notify carers. Without the detection and classification of baby cry sound patterns for infant monitoring, carers wouldn't have a reliable technique to immediately assess and respond to the needs and well-being of infants, endangering their care and safety. This work targets the recognition and categorization of patterns in infant cry sounds for communication with the parents. This work targets the recognition and categorization of patterns in infant cry sounds for communication with the parents. It recently ranks as one of the most interesting medical study subjects. It makes the tasks of working parents or guardians easier and guarantees that the child receives the best care possible. It helps maintain track of a baby's activities, monitors the infant in the cradle, and minimizes the strain for nurses and doctors in the neonatal critical care unit. Using a cry detection technique that includes data collecting, pre-processing, Mel-Frequency Cepstral Coefficient (MFCC), feature selection, and classification, the main objective is to identify crying sounds based on crying patterns. It is challenging to categorize sounds and use Support Vector Machines (SVM) to produce accurate results. And tracking and observing children's activities is made easier by this material. |
| Keywords: | Keywords: cry sound detection, cry sound classification, SVM, and MFCC. |
| Cite Article: | "Identification and Classification of Baby Cry Sound Patterns for Infant Monitoring", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.714 - 717, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306107.pdf |
| Downloads: | 000337350 |
| Publication Details: | Published Paper ID: IJSDR2306107 Registration ID:207194 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: 714 - 717 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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