NDLI: Dynamic time warping technique for musical instrument recognition for isolated notes

Content Provider	IEEE Xplore Digital Library
Author	Bhalke, D.G. Rao, C.B.R. Bormane, D.S.
Copyright Year	2011
Description	Author affiliation: Dept. of E&TC, RSCOE, Pune, India (Bormane, D.S.) \|\| Dept. of ECE, NIT Warangal, India (Bhalke, D.G.; Rao, C.B.R.)
Abstract	Musical instrument recognition becomes an important aspect of music information retrieval which can be used by Musician and lay man to understand it. In this paper, Dynamic time warping techniques is utilized to recognize Indian musical instruments using 39 MFCC features. Six Indian musical instruments from different families are considered in this work. A large audio database are collected and recorded in our Lab at 44.1 KHz sampling frequency. Training and test templates are generated using 39 MFCC features. Sixty three different features of instrument are studied including temporal, spectral and cepstral features. In this paper we have implemented MFCC algorithm, silence part removal using Energy and Zero crossing rate and DTW algorithm. For classification task, experimental results are provided using MFCC, delta MFCC, delta delta MFCC and DTW. It is proposed that higher recognition rates can be achieved using MFCC features with DTW which is useful for different time varying musical notes‥
Starting Page	768
Ending Page	771
File Size	1447144
Page Count	4
File Format	PDF
ISBN	9781424479238
e-ISBN	9781424479269
DOI	10.1109/ICETECT.2011.5760221
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-23
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Musical instrument (MI) Accuracy MFCC (Mel frequency cepstral coefficient) Instruments Heuristic algorithms Filter banks Feature extraction Dynamic Time warping (DTW) Distortion measurement Mel frequency cepstral coefficient
Content Type	Text
Resource Type	Article

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