Voice Recognition Using HMM with MFCC for Secure ATM
Security is an essential part of human life. In this era security is a huge issue that is reliable and efficient if it is unique by any mean. Voice recognition is one of the security measures that are used to provide protection to humans computerized and electronic belongings by his voice. In this paper voice sample is observed with MFCC for extracting acoustic features and then used to trained HMM parameters through forward backward algorithm which lies under HMM and finally the computed log likelihood from training is stored to database. It will recognize the speaker by comparing the log value from the database against the PIN code. It is implemented in Matlab 7.0 environment and showing 86.67% results as correct acceptance and correct rejections with the error rate of 13.33%.
Keywords: Voice recognition, Mel Frequency Cepstral coefficients, Hidden Markov Modeling, Forward Backward algorithm, Fast Fourier Transform, Discrete Cosine Transform, K-mean algorithm.
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ABOUT THE AUTHORS
Shumaila Iqbal
She is a graduate student of Software engineering from Fatima Jinnah Women University. She Participated in Quiz Competition held by Sidra Tabassum, Chair IEEE Student Chapter 09.
Tahira Mahboob
She is a registered Engineer with the Pakistan Engineering Council. She received her bachelors degree from University of Engineering & Technology, Lahore in 2007. Currently enrolled in the MS/MPhil Computer Engineering program at Center for Advanced Studies in Engineering CASE(2010), UET Taxila. She has industry experience in telecom sector (Intelligent networks & VAS) Currently serving as a lecturer at Fatima Jinnah Women University, Rawalpindi. She has supervised thesis/projects at Bachelors and Masters Degree Programs in mobile/computer communications, voice recognition, mobile automation and cloud computing. Her area of interests are computer/mobile communications & networks, information security, mobile automation and adhoc/ sensor networks.
Malik Sikandar Hayat Khiyal
Dr. Malik Sikandar Hayat Khiyal is Chairperson Department of Computer Sciences and Software Engineering at Fatima Jinnah Women University, Pakistan. He received his M.Sc degree from Quaid-e-Azam University, Islamabad. He got first position in the faculty of Natural Science of the University. He was awarded the merit scholarship for Ph.D. He received his Ph.D. degree from UMIST, Manchester, U.K. He developed software of underground flow and advanced fluid dynamic techniques. His areas of interest are Numerical Analysis, Modeling and Simulation, Discrete structure, Data structure, Analysis of Algorithm, Theory of Automata and Theory of Computation. He has more than hundred research publications in National and International Journals and Conference proceedings.
Shumaila Iqbal
She is a graduate student of Software engineering from Fatima Jinnah Women University. She Participated in Quiz Competition held by Sidra Tabassum, Chair IEEE Student Chapter 09.
Tahira Mahboob
She is a registered Engineer with the Pakistan Engineering Council. She received her bachelors degree from University of Engineering & Technology, Lahore in 2007. Currently enrolled in the MS/MPhil Computer Engineering program at Center for Advanced Studies in Engineering CASE(2010), UET Taxila. She has industry experience in telecom sector (Intelligent networks & VAS) Currently serving as a lecturer at Fatima Jinnah Women University, Rawalpindi. She has supervised thesis/projects at Bachelors and Masters Degree Programs in mobile/computer communications, voice recognition, mobile automation and cloud computing. Her area of interests are computer/mobile communications & networks, information security, mobile automation and adhoc/ sensor networks.
Malik Sikandar Hayat Khiyal
Dr. Malik Sikandar Hayat Khiyal is Chairperson Department of Computer Sciences and Software Engineering at Fatima Jinnah Women University, Pakistan. He received his M.Sc degree from Quaid-e-Azam University, Islamabad. He got first position in the faculty of Natural Science of the University. He was awarded the merit scholarship for Ph.D. He received his Ph.D. degree from UMIST, Manchester, U.K. He developed software of underground flow and advanced fluid dynamic techniques. His areas of interest are Numerical Analysis, Modeling and Simulation, Discrete structure, Data structure, Analysis of Algorithm, Theory of Automata and Theory of Computation. He has more than hundred research publications in National and International Journals and Conference proceedings.
