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An objective measure of the subjective timbral difference between two musical sounds is a difficult problem. Mel-band-based metrics and single mel-frequency ceptral coefficient were considered as a way of improving results obtained from previous methods based on harmonic and critical-band error metrics. Results indicate that timbral discrimination is determined by the first 5 to 10 harmonics rather than the broad spectral envelope. More sophisticated methods do not offer significant advantage.
Author (s): Horner, Andrew B.; Beauchamp, James W.; So, Richard H. Y
Affiliation:
Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong; School and Music and Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong
(See document for exact affiliation information.)
Publication Date:
2011-05-06
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Horner, Andrew B.; Beauchamp, James W.; So, Richard H. Y; 2011; Evaluation of Mel-Band and MFCC-Based Error Metrics for Correspondence to Discrimination of Spectrally Altered Musical Instrument Sounds [PDF]; Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong; School and Music and Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=15930
Horner, Andrew B.; Beauchamp, James W.; So, Richard H. Y; Evaluation of Mel-Band and MFCC-Based Error Metrics for Correspondence to Discrimination of Spectrally Altered Musical Instrument Sounds [PDF]; Department of Computer Science, Hong Kong University of Science and Technology, Kowloon, Hong Kong; School and Music and Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong; Paper ; 2011 Available: https://aes2.org/publications/elibrary-page/?id=15930
@article{horner2011evaluation,
author={horner andrew b. and beauchamp james w. and so richard h. y},
journal={journal of the audio engineering society},
title={evaluation of mel-band and mfcc-based error metrics for correspondence to discrimination of spectrally altered musical instrument sounds},
year={2011},
volume={59},
issue={5},
pages={290-303},
month={june},}
TY – paper
TI – Evaluation of Mel-Band and MFCC-Based Error Metrics for Correspondence to Discrimination of Spectrally Altered Musical Instrument Sounds
SP – 290 EP – 303
AU – Horner, Andrew B.
AU – Beauchamp, James W.
AU – So, Richard H. Y
PY – 2011
JO – Journal of the Audio Engineering Society
VO – 59
IS – 5
Y1 – June 2011