Person Identification Based on Humming Using MFCC and Correlation Concept

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Provided by: International Journal of Engineering Trends and Technology
Topic: Hardware
Format: PDF
In this paper, an attempt is made to identify persons with the help of their hum. Normally, speech is used as an input to the biometric system for recognition of a person, but here, instead of using speech, hum of a particular person is used for the same task. Hum is a sound that is emerged from the nose, in which the mouth is completely closed and vocal tract is directly coupled to nasal cavity. Humming is also applicable for a deaf person as 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.
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