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http://dx.doi.org/10.13089/JKIISC.2020.30.5.895

A System of Audio Data Analysis and Masking Personal Information Using Audio Partitioning and Artificial Intelligence API  

Kim, TaeYoung (Seoul Women's University)
Hong, Ji Won (Seoul Women's University)
Kim, Do Hee (Seoul Women's University)
Kim, Hyung-Jong (Seoul Women's University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.30, no.5, 2020 , pp. 895-907 More about this Journal
Abstract
With the recent increasing influence of multimedia content other than the text-based content, services that help to process information in content brings us great convenience. These services' representative features are searching and masking the sensitive data. It is not difficult to find the solutions that provide searching and masking function for text information and image. However, even though we recognize the necessity of the technology for searching and masking a part of the audio data, it is not easy to find the solution because of the difficulty of the technology. In this study, we propose web application that provides searching and masking functions for audio data using audio partitioning method. While we are achieving the research goal, we evaluated several speech to text conversion APIs to choose a proper API for our purpose and developed regular expressions for searching sensitive information. Lastly we evaluated the accuracy of the developed searching and masking feature. The contribution of this work is in design and implementation of searching and masking a sensitive information from the audio data by the various functionality proving experiments.
Keywords
Audio Data Partition; Privacy Protection; Speech Recognition;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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