ARCHIVES
Research Article
A Voice Recognition System to detect Respiratory Problems using Machine Learning
Gola Faiz Ali1
Shaikh Gulnaaz2
Patel Amaan3
123Information Technology, M H Saboo Siddik College of Engineering, University of Mumbai, India.
Published Online: March-April 2022
Pages: 197-203
Cite this article
No DOIReferences
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International Symposium on Information Technology, 2008, pp. 1-6, doi: 10.1109/ITSIM.2008.4631738.
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%20hardware.&text=OpenVINO%20was%20developed%20by%20Intel.
[13]. https://www.techopedia.com/definition/6044/automatic-speech-recognitionasr#:~:text=Automatic%20speech%20recognition%20%28ASR%29%20is%20the%20use%20of,identity%20of%20the%20person%20speaking%20i
nto%20the%20system
[14]. https://www.geeksforgeeks.org/introduction-to-support-vector-machines-svm/
[15]. https://www.javatpoint.com/k-nearest-neighbor-algorithm-for-machine-learning
[16]. https://www.kaggle.com/vbookshelf/respiratory-sound-database
[17]. https://www.kaggle.com/ronitf/heart-disease-uci
[18]. https://www.hindawi.com/journals/mpe/2021/8608630/
[19]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545204/
[20]. https://www.sciencedirect.com/science/article/pii/S1877050920309091
[21]. https://www.statisticssolutions.com/free-resources/directory-of-statistical-analyses/what-is-logistic-regression/
[22]. https://prutor.ai/classification-algorithms-random-forest/
[23]. https://medium.com/analytics-vidhya/what-is-the-support-vector-machine-svm-dc89207c011
[24]. https://www.semanticscholar.org/paper/A-Machine-Learning-Model-for-Detecting-RespiratoryDas/f31f2accb2fa579c72569dcd7650f33dd4a2e522/figure/1
[25]. https://www.researchgate.net/publication/351862629_COVID19_Recognition_Based_on_Patient%27s_Coughing_and_Breathing_Patterns_Analysis_Deep_Learning_Approach
[26]. https://huntdatascience.wordpress.com/2019/09/24/naive-bayes-algorithm/
Bioengineering (EHB), 2020, pp. 1-4, doi: 10.1109/EHB50910.2020.9280115.
[2]. S. Das, "A Machine Learning Model for Detecting Respiratory Problems using Voice Recognition," 2019 IEEE 5th International Conference for
Convergence in Technology (I2CT), 2019, pp. 1-3, doi: 10.1109/I2CT45611.2019.9033920.
[3]. P. Porter, U. Abeyratne, V. Swarnkar, J. Tan, T.-w. Ng, J. M. Brisbane, D. Speldewinde, J. Choveaux, R. Sharan, K. Kosasih et al., “A prospective
multicentre study testing the diagnostic accuracy of an automated cough sound centred analytic system for the identification of common respiratory
disorders in children,” Respiratory research, vol. 20, no. 1, p. 81, 2019.
[4]. K. Tarunika, R. B. Pradeeba and P. Aruna, "Applying Machine Learning Techniques for Speech Emotion Recognition," 2018 9th International
Conference on Computing, Communication and Networking Technologies (ICCCNT), 2018, pp. 1-5, doi: 10.1109/ICCCNT.2018.8494104.
[5]. J. Amoh and K. Odame, "Deep Neural Networks for Identifying Cough Sounds," in IEEE Transactions on Biomedical Circuits and Systems, vol. 10,
no. 5, pp. 1003-1011, Oct. 2016, doi: 10.1109/TBCAS.2016.2598794
[6]. M. M ynczak, K. Pariaszewska, and G. Cybulski, Automatic cough episode detection using a vibroacoustic sensor in 2015 37th Annual International
Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015, doi: 10.1109/embc.2015.7318975
[7]. M. Al-khassaweneh and R. Bani Abdelrahman, “A signal processing approach for the diagnosis of asthma from cough sounds,” Journal of medical
engineering & technology, vol. 37, no. 3, pp. 165–171, 2013.
[8]. J. Meng, J. Zhang and H. Zhao, "Overview of the Speech Recognition Technology," 2012 Fourth International Conference on Computational and
Information Sciences, 2012, pp. 199-202, doi: 10.1109/ICCIS.2012.202.
[9]. P. Mayorga, C. Druzgalski, R. L. Morelos, O. H. González and J. Vidales, "Acoustics based assessment of respiratory diseases using GMM
classification," 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010, pp. 6312-6316, doi:
10.1109/IEMBS.2010.5628092.
[10]. B. Z. Halimah, A. Azlina, P. Behrang and W. O. Choo, "Voice recognition system for the visually impaired: Virtual cognitive approach," 2008
International Symposium on Information Technology, 2008, pp. 1-6, doi: 10.1109/ITSIM.2008.4631738.
[11]. https://www.researchgate.net/figure/WHO-Global-Health-Estimates-Leading-causes-of-death-globally-2000-and-2019-There-are_fig2_350896774
[12]. https://en.wikipedia.org/wiki/OpenVINO#:~:text=OpenVINO%20toolkit%20(Open%20Visual%20Inference,inference%20engine%20onto%20Intel
%20hardware.&text=OpenVINO%20was%20developed%20by%20Intel.
[13]. https://www.techopedia.com/definition/6044/automatic-speech-recognitionasr#:~:text=Automatic%20speech%20recognition%20%28ASR%29%20is%20the%20use%20of,identity%20of%20the%20person%20speaking%20i
nto%20the%20system
[14]. https://www.geeksforgeeks.org/introduction-to-support-vector-machines-svm/
[15]. https://www.javatpoint.com/k-nearest-neighbor-algorithm-for-machine-learning
[16]. https://www.kaggle.com/vbookshelf/respiratory-sound-database
[17]. https://www.kaggle.com/ronitf/heart-disease-uci
[18]. https://www.hindawi.com/journals/mpe/2021/8608630/
[19]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545204/
[20]. https://www.sciencedirect.com/science/article/pii/S1877050920309091
[21]. https://www.statisticssolutions.com/free-resources/directory-of-statistical-analyses/what-is-logistic-regression/
[22]. https://prutor.ai/classification-algorithms-random-forest/
[23]. https://medium.com/analytics-vidhya/what-is-the-support-vector-machine-svm-dc89207c011
[24]. https://www.semanticscholar.org/paper/A-Machine-Learning-Model-for-Detecting-RespiratoryDas/f31f2accb2fa579c72569dcd7650f33dd4a2e522/figure/1
[25]. https://www.researchgate.net/publication/351862629_COVID19_Recognition_Based_on_Patient%27s_Coughing_and_Breathing_Patterns_Analysis_Deep_Learning_Approach
[26]. https://huntdatascience.wordpress.com/2019/09/24/naive-bayes-algorithm/
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