Use voice analysis technology to check fraud: cbi to banks

Following the recent case where the chairman of a Mumbai-based private firm was booked in a   231-crore cheating case, a senior CBI officer has suggested that bankers make use of voice

analysis technology to identify such fraudsters and prevent such offences.  Keshav Kumar, CBI's joint director in Mumbai, had an interactive session with senior executives of several

private and government banks at a workshop organized by the Centre for Advanced Financial Research and Learning (CAFRAL), affiliated with Reserve Bank of India (RBI) last month. He told them

that use of layered voice analysis (LVA) can be a helpful tool to prevent fraud cases.  The LVA software can trace deception by a person during interviews; it analyses voice and emotion to

provide clues whether a person is lying or giving genuine replies.  The CAFRAL had organized the two-day workshop on digital forensics and cyber crime. Kumar was requested to share his

expertise over the issue with participants.  "Preventive vigilance and preventive forensics are advisable to minimize financial risk factors. The technology can help bankers get an idea

about the loan seeker's intention before approving the amount. It can also be used for in-house vigilance," said Kumar.  The CAFRAL is engaged in conducting seminars, conferences

and other learning programmes that serve as a platform for exchange of high-level policy dialogues between various stakeholders by bringing together regulators, policy-makers, bankers,

academicians, researchers and practitioners.  Ravindra Sangvai, RBI general manager and programme director of CAFRAL, said it was an interactive session where senior executives asked various

questions to know more about the technology. "Bank executives were not aware of any such technology; during the programme, they came to known that the voice has 269 layers. The

programme helped them understand the new technology and they may think to use it in future," he said.  Photo credit: Indiatimes, representative image