Analysis of Mel Based Features for Audio Retrieval
نویسندگان
چکیده
Nowadays the electronic gadgets have been updated to store large amount of music information. It is necessary to have an efficient retrieval system to choose the required data. The important task in audio retrieval system is feature extraction. In the feature extraction stage, the feature which gives relevant information about music has to be extracted. In this paper, various Mel based feature which includes Mel Frequency Cepstral Coefficient (MFCC), Delta MFCC (DMFCC), Double Delta MFCC (DDMFCC), hybrid feature (MFCC+DMFCC+DDMFCC) has been analyzed for audio retrieval system. It has been found out that the audio retrieval system which makes use of hybrid feature will provide better result compared to the other features.
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