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A Survey On: Continuous Voice Recognition Techniques

Journal: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) (Vol.4, No. 3)

Publication Date:

Authors : ; ; ;

Page : 37-41

Keywords : Keywords: Speech Recognition; Speaker Recognition; Singer Identification; Feature Extraction; MFCC; LPC; HMM; DTW; Pattern matching.;

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Abstract

Abstract There is a large amount of requirement for the digital data which is also called as digital multimedia which is used worldwide for almost all activities that carried out our day-today lives. To support these activities there are different formats of data for audio depending upon the requirement . It can be jpeg, mpeg, .wav etc. For efficient use and retrieval of audio signal different technologies are used by different users. One of the technologies used in these field is Automatic Singer identification which is used to recognize from features of the audio signal , the singer of the song or who is the one who is singing, the genuine singer[5].This same area of singer identification and recognition can be utilized in the bioinformatics where by the voice of the singer is used to gain access to a particular singer. The system would be very much useful to singers of the song who are actual singers and also to the common man who can store their speech and can later this input signal it to access the system. For the professional singers , there are many possibilities that the original singers voice is get mimicked which may in this situation lead to pirated copies of the voice of the singer which are then sold in to the market

Last modified: 2015-07-10 13:53:35