Paper Info
Title
Musical instrument identification using multiscale Mel-frequency cepstral coefficients
Abstract
We investigate the benefits of evaluating Mel-frequency cepstral coefficients (MFCCs) over several time scales in the context of automatic musical instrument identification for signals that are monophonic but derived from real musical settings. We define several sets of features derived from MFCCs computed using multiple time resolutions, and compare their performance against other features that are computed using a single time resolution, such as MFCCs, and derivatives of MFCCs. We find that in each task - pair-wise discrimination, and one vs. all classification - the features involving multiscale decompositions perform significantly better than features computed using a single time-resolution.
Year
Venue
Keywords
2010
Aalborg
cepstral analysis,musical instruments,mfcc,automatic musical instrument identification,multiple time resolutions,multiscale mel-frequency cepstral coefficients,multiscale decompositions,pair-wise discrimination,real musical settings,single time resolution,indexes,time frequency analysis
Field
DocType
ISSN
Mel-frequency cepstrum,Computer science,Musical instrument,Speech recognition,Time–frequency analysis,Cepstral analysis,Discrete cosine transforms
Conference
2219-5491
Citations 
PageRank 
References 
8
0.65
6
Authors
3
Name
Order
Citations
PageRank
Bob L. Sturm124129.88
Marcela Morvidone2172.56
L. Daudet367262.06