Person Identification Based on Humming Using MFCC and Correlation Concept
Nikunj Patel, Prof. Vinesh Kapadia, Prof. Kinnal Dhameliya, Dr. Ninad Bhatt"Person Identification Based on Humming Using MFCC and Correlation Concept", International Journal of Engineering Trends and Technology (IJETT), V23(2),77-81 May 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
In this paper, an attempt is made to identify persons with the help of their hum. Normally, speech is used as an input to thebiometric system for recognition of a person, but here,instead of using speech, hum of a particular person is used for the sametask. Hum is a sound that is emerged from the nose, in which themouth is completely closed and vocal tract is directly coupled to nasal cavity. Humming is also applicable for a deaf personas well as an infant person who is not able to speak.Humming is not produced as the same way as production of normal speech, so in this paper speaker identification is referred to as person identification.Here, Mel Frequency CepstralCoefficients (MFCC) is used as a feature extraction technique and Pearson Correlation concept is used to identify the person. Identification rate is measured as a performance parameter of the system.
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Person Identification, Humming, MFCC, Pearson Correlation, Identification rate