Automated Speech Recognition System to Detect Babies’ Feelings through Feature Analysis using SVM Algorithm

Mr. Parasurama N; Prashanthi Maddala; Mr. K N V Krishna Sai Ram

Title:
Automated Speech Recognition System to Detect Babies’ Feelings through Feature Analysis using SVM Algorithm

Authors:
Mr. K N V Krishna Sai Ram | Mr. Parasurama N | Prashanthi Maddala

Cite This Article :

Mr. K N V Krishna Sai Ram | Mr. Parasurama N | Prashanthi Maddala "Automated Speech Recognition System to Detect Babies’ Feelings through Feature Analysis using SVM Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-3, June 2025, pp.852-857, URL: https://www.ijtsrd.com/papers/ijtsrd81124.pdf

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Abstract :
This “paper investigated the signal processing and feature extraction of the aforementioned speeches in order to investigate the intelligent machine technology for comprehending infants' needs and emotions from speech signals and, as a result, assisting parents in child rearing. It would appear that the infant's speech signals alone were not sufficient to achieve a high level of precision and dependability when it came to dealing with a variety of needs and emotions. Taking into account the combined characteristics of acoustic characteristics and rearing behaviors, an efficient recognition strategy was therefore proposed using the SVM classification algorithm. The findings of the experiment demonstrated that the majority of infants' typical physiological and psychological states, such as happiness, hunger, and slumber, can be correctly identified with a relatively high level of accuracy.

Keywords :
SVM classification algorithm, digital processing, Matlab, MFCS, Speech signal

Publication Details:

Unique Identification Number : IJTSRD81124

Published In : Volume-9 | Issue-3, June 2025

Page Number(s) : 852-857

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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