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A Control Device to Monitor Domestic Violence using Speech Analysis
| 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
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
- Bhandari, S., Hughes, J.C. (2017). Lived Experiences of women facing Domestic violence in India. Journal of social Work in Global Community, vol.2, Issue1. doi: 10.5590/JSWGC.2017.02.1.02.
- Avdibegovic, E., Brkic, M., Sinanovic, O. (2017). Emotional Profile of women victims of domestic violence. doi: 10.5455/msm.2017.29.109-113
- King G, Roland-Mieszkowski M, Jason T, Rainham DG. J Urban Health. 2012 Dec; 89(6):1017-30. doi: 10.1007/s11524-012-9721-7. PMID: 22707308
- Prasanna G. and Ramadass N. (2014). Low cost Home automation using offline speech recognition. International Journal of Signal Processing Systems Vol. 2, No. 2, Dec 2014.
- D. Huggins-Daines, M. Kumar, A. Chan, A. W. Black, M. Ravishankar and A. I. Rudnicky, "Pocketsphinx: A Free, Real-Time Continuous Speech Recognition System for Hand-Held Devices," 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, Toulouse, 2006, pp. I-I.
- Chakraborty K., Talele A., Upadhya S. (2014). Voice Recognition using MFCC Algorithm. International Journal of Innovative Research in Advanced Engineering., Vol. 1 Issue 10. ISSN: 2349-2163
- Dhingra, S.D., Nijhawan, G., Pandit, P. (2013). Isolated speech recognition using MFCC and DTW. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 2, Issue 8. ISSN: 2320-3765
- A. G. Veeravalli, W. D. Pan, R. Adhami and P. G. Cox, "A tutorial on using hidden Markov models for phoneme recognition," Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005. SSST '05., Tuskegee, AL, USA, 2005, pp. 154-157.
- C. Zhang, F. L. Kreyssig, Q. Li and P. C. Woodland, "PyHTK: Python Library and ASR Pipelines for HTK," ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 6470-6474.
- 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.
- L. Gerosa, G. Valenzise, M. Tagliasacchi, F. Antonacci and A. Sarti, "Scream and gunshot detection in noisy environments," 2007 15th European Signal Processing Conference, Poznan, 2007, pp. 1216-1220.
- (The product website) Source: https://www.raspberrypi.org/products/raspberry-pi-zero-w/
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