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Automatic Speaker Recognition (ASR): Application in the monitoring of PLHIV in the cross-border area between the Gambia, Guinea-Bissau and Senegal

Published: 22 March 2021 Publication History

Abstract

This article focuses on the study and optimization of the monitoring system for People Living with HIV (PLWHIV) in the cross-border area between the Gambia, Senegal and Guinea Bissau. Difficulties in adherence to treatment are accentuated, among other things, by the stigmatization of HIV patients and the high mobility of the population. These two situations and the absence of a reliable identification system for PLWHIV lead to restarting treatment for certain patients, which can cause resistance.
This article presents the problem of automatic speaker recognition in the monitoring of PLWHA to avoid resumption of treatment and reduce the number of patients on ART lost to removing duplicates of patients in follow-up. From the technical point of view, we presented the problem of identification by speech. We proposed a state of the arts pretty full on art methodology s existing. We proposed a model with a first implementation allowing to make the first analyzes. We also presented a set of related works.

References

[1]
Y. Dieng, I. Diop, Y. Faye, and CA Malack, "A sub-regional information system for monitoring and managing PLHIV in cross-border areas between Gambia, Senegal and Guinea Bissau: Information System for Managing PLHIV in Cross-Border Areas ". / 3361570.3361576.
[2]
O. Cisse, I. Diop, Y. Dieng, B. Diouf, Y. Faye and C.A. Malack, "Decrease the number of patients lost to follow-up in the monitoring of PLHIV in cross-border areas between The Gambia, Senegal and Guinea Bissau ". / 3361570.3361596.
[3]
" ANNUAL-REPORT-CNLS-2018 ", CNLS, Senegal, 2018
[4]
BS Atal, " Automatic recognition of speakers from their voices ", Proceedings of the IEEE, vol. 64, n o 4, p. 460--475, Apr. 1976. / PROC.1976.10155.
[5]
Guides to knowledge - The Human Body - Understanding our organism and how it works. Quebec America, 2002.
[6]
J. Martinez, H. Perez, E. Escamilla, and MM Suzuki, " Speaker recognition using Mel frequency Cepstral Coefficients (MFCC) and Vector quantization (VQ) techniques ". / CONIELECOMP.2012.6189918
[7]
Lindasalwa Muda and Mumtaj Begam and I. Elamvazuthi, "Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques ". Year 2010, DBLP: journals/corr/abs-1003--4083
[8]
S. Singh and DEG Rajan, Vector Quantization Approach for Speaker Recognition using MFCC and Inverted MFCC.
[9]
S. Furui, " AN OVERVIEW OF SPEAKER RECOGNITION TECHNOLOGY," ESCA WORKSHOP ON AUTOMATIC SPEAKER RECOGNITION, IDENTIFICATION AND VERIFICATION, MARTIGNY, pp. 1--9, 1994.
[10]
DA Reynolds, "An Overview of Automatic Speaker Recognition Technology," International Conférence on Acoustic, Speech and Signal Processing (ICASSP), pp. 4072--4075, 2002.
[11]
JP CAMPBELL, "Speaker recognition: a tutorial," Proceedings of the IEEE, vol. 85, n °% 19, p. 1437--1462., September 1997.
[12]
AE ROSENBERG, "Automatic Speaker Verification: A Review," PROCEEDINGS OF THE IEEE, pp. 475--467, April 1976.
[13]
SSTSRSASG, RWSS Tirumala et al., "Speaker identification features extraction methods: A systematic review," Expert Systems with Applications, vol. 90, pp. 250--271, 2017.
[14]
H. Melin, "Speaker Verification in Telecommunication," Bidragtill TalteKnologidagen, KTH, 1996.
[15]
FBGC &. AP Bimbot et al., "Assessment methodology for speaker identification and verification systems-an overview of sam-a esprit project 6819- task 2500," ESCA Workshop on Automatic Speaker Recognition, Identification and Verification Martigny, Switzerland, pp. 75--82, 5--7 April 1994.
[16]
T. Kinnunen, "Spectral Features for Automatic Text-Independent Speaker Recognition," Joensuu, 2003.
[17]
DESWMCDARDE Sturim et al., "Classification Methods for Speaker Recognition," pp. 1--22, 2007.
[18]
HJ Nagaraja BG, "Combination of Features for Multilingual Speaker Identification with the Constraint of Limited Data," International Journal of Computer Applications, vol. 70, n °% 16, pp. 1--6, May 2013.
[19]
LMMBIE Lindasalwa Muda et al., "Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques," JOURNAL OF COMPUTING, vol. 2, n °% 13, pp. 138--143, March 2010.
[20]
RKRFRRRJM Ravi PRP Ramachandran et al., "Speaker recognition --- general classi er approaches and data fusion methods," Pattern Recognition, vol. 35, p. 2801--2821, 2002.
[21]
HL Tomi Kinnunen, "An Overview of Text-Independent Speaker Recognition: from Features to Supervectors," Speech Communication, pp. 1--30, 2009.
[22]
DSK Hemlata Eknath Kamale, "Vector Quantization Approach for Speaker Recognition," International Journal of Computer Technology and Electronics Engineering (IJCTEE), vol. 3, March-April 2013.
[23]
V. Tiwari, "MFCC and its applications in speaker recognition," International Journal on Emerging Technologies, vol. 1, n °% 11, pp. 19--22, 2010.
[24]
RARAMMH a. MZH Rajib Ahmed et al., "A Text Dependent Speaker Recognition using Vector Quantization," J. Eng. & Tech, vol. 1, n °% 12, pp. 1--6, January 2011.
[25]
D. BURTON, "Text-Dependent Speaker Verification Using Vector Quantization Source Coding," NAVAL RESEARCH LABORATORY Washington, DC, pp. 1--18, November 1985.
[26]
KKNJ Kaur et al., "Feature Extraction and Classification for Automatic Speaker Recognition System - A Review," International Journal of Advanced Research in Computer Science and Software Engineering, vol. 5, n °% 11, pp. 1--6, January 2015.
[27]
RCR Douglas A. Reynolds, "Robust Text-Independent Speaker Identification Using Gaussian Mixture Speaker Models," IEEE TRANSACTION ON SPEECH AND AUDIO PROCESSING, vol. 3, n °% 11, pp. 72--83, January 1995.
[28]
GSSCSSG Saha et al., "A New Silence Removal and Endpoint Detection Algorithm for Speech and Speaker Recognition Applications," IJIGSP, pp. 1--5, December 2014.
[29]
NJIEMTMYIIMYBMY Zaidi Razak, "Quranic Verse Recitation Feature Extraction Using Mel-Frequency Cepstral Coefficient (MFCC)," 4th International Colloquium on Signal Processing and its Applications, pp. 13--18, 7--9 March 2008.
[30]
DMS Geeta Nijhawan, "Speaker Recognition Using MFCC and Vector," Int. J. on Recent Trends in Engineering and Technology, vol. 11, n °% 11, July 2014.

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    ICIST '20: Proceedings of the 10th International Conference on Information Systems and Technologies
    June 2020
    292 pages
    ISBN:9781450376556
    DOI:10.1145/3447568
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 22 March 2021

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    Author Tags

    1. ASR
    2. HIV
    3. Mel-Frequency Cepstral Coefficient (MFCC)
    4. PLWHA

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