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http://dx.doi.org/10.3837/tiis.2021.10.009

Determining Personal Credit Rating through Voice Analysis: Case of P2P loan borrowers  

Lee, Sangmin (Department of Business Administration and Data Science, CHA University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.15, no.10, 2021 , pp. 3627-3641 More about this Journal
Abstract
Fintech, which stands for financial technology, is growing fast globally since the economic crisis hit the United States in 2008. Fintech companies are striving to secure a competitive advantage over existing financial services by providing efficient financial services utilizing the latest technologies. Fintech companies can be classified into several areas according to their business solutions. Among the Fintech sector, peer-to-peer (P2P) lending companies are leading the domestic Fintech industry. P2P lending is a method of lending funds directly to individuals or businesses without an official financial institution participating as an intermediary in the transaction. The rapid growth of P2P lending companies has now reached a level that threatens secondary financial markets. However, as the growth rate increases, so does the potential risk factor. In addition to government laws to protect and regulate P2P lending, further measures to reduce the risk of P2P lending accidents have yet to keep up with the pace of market growth. Since most P2P lenders do not implement their own credit rating system, they rely on personal credit scores provided by credit rating agencies such as the NICE credit information service in Korea. However, it is hard for P2P lending companies to figure out the intentional loan default of the borrower since most borrowers' credit scores are not excellent. This study analyzed the voices of telephone conversation between the loan consultant and the borrower in order to verify if it is applicable to determine the personal credit score. Experimental results show that the change in pitch frequency and change in voice pitch frequency can be reliably identified, and this difference can be used to predict the loan defaults or use it to determine the underlying default risk. It has also been shown that parameters extracted from sample voice data can be used as a determinant for classifying the level of personal credit ratings.
Keywords
Fintech; P2P lending; Social Lending; P2P Loan Default; P2P Credit Rating;
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  • Reference
1 A. Fermay, B. Santosa, A. Kertopati, and I. Eprianto, "The development of collaborative model between fintech and bank in Indonesia," in Proc. of the 2nd International Conference on E-commerce, E-Business and E-Government, pp.1-6, 2018.
2 H. Kim, "Application Case of Personality Evaluation to Financial Industry - Payoff (USA)," KB Financial Management Research Institute, 2015.
3 V. Ha and H. Nguyen, "Credit scoring with a feature selection approach based deep learning," in Proc. of 7th International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2016), Vol. 54, 2016.
4 D. McAuley, "What is FinTech?," Wharton FinTech, September 2014. [Online] Available: https://medium.com/wharton-fintech/what-is-fintech-77d3d5a3e677#.snf58h3sb.
5 J. Skan, J. Dickerson, and L. Gagliardi, "Fintech and the evolving landscape: landing points for the industry," Accenture, April 2016. [Online] Available: https://fintechinnovationlab.com/wp-content/uploads/2021/03/Fintech_Evolving_Landscape_2016.pdf
6 J. Jeong, "P2P delinquency rate approaching 20%," The Maeil Business News Korea, September 8, 2020. [Online] Available: https://www.mk.co.kr/news/economy/view/2020/09/928793/
7 E. Barreto, N.D. Freitas, and M. Volin, "Fintech Fundraising Grew Strongly in Most Major Markets in 2019, Accenture Analysis Finds," Accenture, February 2020. [Online] Available: https://newsroom.accenture.com/news/fintech-fundraising-grew-strongly-in-most-major-markets-in-2019-accenture-analysis-finds.htm
8 C. Moldow, "A trillion dollar market by the people, for the people," Foundation Capital. [Online] Available: https://foundationcapital.com/wpcontent/uploads/2020/04/FC_CharlesMoldow_TrillionDollarMarket.pdf
9 P. Renton, "Peer To peer lending crosses $1 billion in loans issued," Techcrunch, May 2012. [Online] Available: https://techcrunch.com/2012/05/29/peer-to-peer-lending-crosses-1-billion-in-loans-issued/
10 "Computing platform," Wikipedia. [Online] Available: https://en.wikipedia.org/wiki/Computing_platform
11 S. Freedman and G. Z. Jin, "Do social networks solve information problems for peer-to-peer lending? Evidence from Prosper.com," SSRN Electronic Journal, 2008.
12 R. Avery, P. Calem and G. Canner, "Consumer credit scoring: do situational circumstances matter?," SSRN Electronic Journal, 2007.
13 I. Aldridge and S. Krawciw, Real-time risk: what investors should know about fintech, high-frequency trading, and flash crashes, Hoboken, NJ: John Wiley & Sons, Inc., 2017.
14 "P2P Lending," Wikipedia. [Online] Available: https://en.wikipedia.org/wiki/peer-to-peer_lending
15 D. Kim, "Crowd Funding Status and Impact," KBdaily Knowledge Vitamin, No. 108, pp.2-3, 2012. [Online] Available: http://banker.kfb.or.kr/201503/pdf/section302.pdf
16 E. Lee and B. Lee, "Herding Behavior in Online P2P Lending: An Empirical Investigation," Electronic Commerce Research and Applications, Vol. 11, No. 5, pp. 495-503, 2012.   DOI
17 "South Korea's Rapidly Growing P2P Lending Industry Faces Scrutiny," Fintech New Hong Kong, June 2020. [Online] Available: https://fintechnews.hk/8145/fintechkorea/p2p-lending-korea/
18 L. Ribiner, and R. Schafer, Theory and Applications of Digital Speech Processing, Upper Saddle River: Pearson, 2011.
19 S. Hahm, and H. Park, "A study on Different Achievement for Creativity and Memorizing Using Electro-Encephalo-Graphy(EEG) Comparison," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol.6, No. 12, pp. 197-204, 2016.   DOI
20 R. Schafer, and R. Lawrence, Theory and Applications of Dig Digital Speech Processing, Pearson, 2011.
21 K. Cho, "P2P Lending, the information blind zone and the detonator of shadow finance," Seoul Economic Daily, November 8, 2016. [Online] Available: http://www.sedaily.com/NewsView/1L3W43DNGI
22 J. Munch, "What is fintech and why does it matter to all entrepreneurs," Hot Topics, [Online] Available: https://www.hottopics.ht/3182/what-is-fintech-and-why-it-matters/
23 P. Woo, S. Bae, and M. Bae, "Analysis of Confidence and Control through Voice of Kim Jungun," Information, Vol. 19, No. 5, pp. 1469-1474, 2016.
24 J. Sviokla, "Breakthrough ideas: forget Citibank - borrow form Bob," Harvard Business Review, 87, pp.19-40, 2009.
25 R. Iyer, A. I. Khwaja, E. F. P. Luttmer, and K. Shue, "Screening in New Credit Markets: Can Individual Lenders Infer Borrower Creditworthiness in Peer-to-Peer Lending?," SSRN Electronic Journal, 2009.
26 I. Gulamhuseinwala and A. Kouznetsova, "Landscaping UK Fintech," U.K. Trade and Investment. [Online] Available: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/802806/Landscaping_UK_Fintech_withdrawn.pdf
27 S. Lee, "Evaluation of Mobile Application in User's Perspective: Case of P2P Lending Apps in FinTech Industry," KSII Transactions on Internet and Information Systems, Vol. 11, No. 2, pp. 1105-1117, 2017.   DOI
28 "Fintech," Investopedia. [Online] Available: http://www.investopedia.com/terms/f/fintech.asp
29 I. Galloway, "Peer-to-Peer Lending and Community Development Finance," Community Development Investments, Federal Reserve Bank of San Francisco, Vol. 21(Win), pp. 19-2339, 2009.
30 R. Alt and T. Puschmann, "The rise of customer-oriented banking - electronic markets are paving the way for change in the financial industry," Electronic Markets, Vol. 22, No. 4, pp. 203-215, 2012.   DOI
31 S. Moenninghoff and A. Wieandt, "The Future of Peer-to-Peer Finance," Schmalenbachs Zeitschrift fur Betriebswirtschaftliche Forschung, vol. 65, pp. 466-487, 2013.   DOI
32 H. Kim, "Credit Rating Cases and Implications Using Personality Test," KB Financial Management Research Institute, 2015.
33 "Who Am I? Quiz," The VisualDNA, [Online] Available: https://you.visualdna.com/quiz/whoami#!/quiz
34 K. Yoo, "Deep-Learning based scream recognition and implementation of scream alarm system," M.S. Thesis, School of Electronics and Computer Science, Chonnam National University, Gwangju, 2018. [Online] Available: http://www.riss.kr/search/detail/DetailView.do?p_mat_type=be54d9b8bc7cdb09&control_no=9c 78c394ba9fa873ffe0bdc3ef48d419&outLink=K
35 R. Lichtenwald, "LendingRobot Releases First Mobile App For P2P Lending," Lend Academy, April 2016. [Online] Available: https://www.lendacademy.com/lendingrobot-releases-firstmobile-app-p2p-lending/
36 C. Wang, D. Han, Q. Liu and S. Luo, "A Deep Learning Approach for Credit Scoring of Peer-to-Peer Lending Using Attention Mechanism LSTM," IEEE Access, vol. 7, pp. 2161-2168, 2019.   DOI
37 "Mobile App," Wikipedia. [Online] Available: https://en.wikipedia.org/wiki/Mobile_app
38 R. Godwin-Jones, "Web-writing 2.0: Enabling, documenting, and assessing writing online," Language Learning & Technology, Vol. 12, No. 2, pp. 7-13, 2008.
39 G. Reis, "Why don't lending club and other P2P platforms have mobile app?," Quora. [Online] Available: https://www.quora.com/Why-dont-lending-club-and-other-p2p-platforms-have-mobile-app
40 S. Kim, " Why new business 'P2P finance' is emerging," Digital Times, January 2016, [Online] Available: http://www.dt.co.kr/contents.html?article_no=2016011202102351795001
41 E. G. Walters, Fundamentals of Telephone Communication Systems, Western Electric Company, 1969.
42 I. Titze, and F. Alipour, The Myoelatic-Aerodynamic Theory of Phonation, Iowa City: National Center for Voice and Speech, 2006.
43 M. Rothenberg, The Breath-Stream Dynamics of Simple-Released Plosive Production, No. 6, Bibliotheca Phonetica, Karger, Basel, 1968.
44 "Source-filter model," Wikipedia. [Online] Available: https://en.wikipedia.org/wiki/Source-filter_model
45 J. Park, H. Park, and S. Lee, "An Analysis on Reliability Parameter Extraction Using Formant of Voice over Telephone," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol. 7, No. 3, pp. 183-190, 2017.   DOI
46 S. Lee, "Analysis of the p2p loan market and its implications," Korea Institute of Finance. [Online] Available https://www.kcmi.re.kr/en/report/report_view?report_no=866
47 A. Rigault, and R. Charbonneau, "The glottal volume velocity waveform during loose and tight voiced glottal adjustments," in Proc. of the 7th International Congress of Phonetic Sciences, August 22-28, 1971.
48 "What is peer-to-peer lending and how does it work?," LendingWorks. [Online] Available: https://www.lendingworks.co.uk/finance-guides/p2p-lending/what-is-peer-to-peer-lending