DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-6 ( Jun, 2017 ) | |||||||||
Paper Title |
Music/voice Separation from Indian Folk Music using Established Time Frequency Masking based Technique | |||||||||
Author Name |
Rahul Yadav, Shubham Mishra, Nitin Mukesh, Neelesh Kumar | |||||||||
Affilition |
Department of Computer Science and Engineering Technology, National Institute of Technology, Agartala | |||||||||
Pages |
19-22 | |||||||||
Abstract |
This paper concentrates on music voice separation from mixture of audio specifically from Indian folk music. It had been seen that recent music/voice separation techniques specifically works efficiently for a particular type of music such as “REpeating Pattern Extraction Technique” is well suited for “pop music” because the music piece consist of stable repeating accompaniment. There are some latest algorithm such as Blind source separation, repeat pattern extraction and more. So this paper investigates the effectiveness of established music voice separation technique on different type of music, the case of Indian folk music was considered as a specific example and it was found that Human-Assisted Time-Frequency Masking method is more efficient for Indian folk music. Keywords - REPET, STFT, TFM, DFT, IFFT,IPD | |||||||||
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