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A Control Device to Monitor Domestic Violence using Speech Analysis

by Tanmay Debnath
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 25
Year of Publication: 2020
Authors: Tanmay Debnath
10.5120/ijca2020920214

Tanmay Debnath . A Control Device to Monitor Domestic Violence using Speech Analysis. International Journal of Computer Applications. 176, 25 ( May 2020), 12-16. DOI=10.5120/ijca2020920214

@article{ 10.5120/ijca2020920214,
author = { Tanmay Debnath },
title = { A Control Device to Monitor Domestic Violence using Speech Analysis },
journal = { International Journal of Computer Applications },
issue_date = { May 2020 },
volume = { 176 },
number = { 25 },
month = { May },
year = { 2020 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number25/31354-2020920214/ },
doi = { 10.5120/ijca2020920214 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:43:27.279668+05:30
%A Tanmay Debnath
%T A Control Device to Monitor Domestic Violence using Speech Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 25
%P 12-16
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper demonstrates the implementation of MFCC and HMM modules in voice simulated areas for the prevention and monitoring of domestic violence in real-time. This is based on the system for automatic speech recognition using the hidden Markov model Toolkit (HTK) and Mel-Frequency Cepstral Coefficients (MFCC). The paper also holds an account for improved sound recognition provision using google recognition. The expected billing amount is also presented in this paper, for an approximate view of the product pricings. The device is theorised to function in all environment scenarios. The report has been presented in a detailed manner with all underlying components. The device is purely based on user experience and considering real-life scenarios and test cases.

References
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  2. Avdibegovic, E., Brkic, M., Sinanovic, O. (2017). Emotional Profile of women victims of domestic violence. doi: 10.5455/msm.2017.29.109-113
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  10. Weimin Huang, Tuan Kiang Chiew, Haizhou Li, Tian Shiang Kok and Jit Biswas, "Scream detection for home applications," 2010 5th IEEE Conference on Industrial Electronics and Applications, Taichung, 2010, pp. 2115-2120.
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  12. (The product website) Source: https://www.raspberrypi.org/products/raspberry-pi-zero-w/
Index Terms

Computer Science
Information Sciences

Keywords

HMM MFCC User Experience Domestic Violence product Design and Development.

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