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In this paper, we propose a time-frequency representation where the frequency bins are distributed uniformly in log-frequency and their Q-factors obey a linear function of the bin center frequencies. The latter allows for time-frequency representations where the bandwidths can be e.g. constant on the log-frequency scale (constant Q) or constant on the auditory critical-band scale (smoothly varying Q). The proposed techniques are published as a Matlab toolbox that extends [3]. Besides the features that stem from [3] - perfect reconstruction and computational efficiency - we propose here a technique for computing coefficient phases in a way that makes their interpretation more natural. Other extensions include flexible control of the Q values and more regular sampling of the time-frequency plane in order to simplify signal processing in the transform domain.
Author (s): Schörkhuber, Christian; Klapuri, Anssi; Holighaus, Nicki; Dörfler, Monika
Affiliation:
Austrian Academy of Sciences, Vienna, Austria; Tampere University of Technology, Tampere, Finland; University of Music and Performing Arts Graz, Graz, Austria; University of Vienna, Vienna, Austria
(See document for exact affiliation information.)
Publication Date:
2014-01-06
Import into BibTeX
Session subject:
Audio Signal Processing and Feature Extraction
Permalink: https://aes2.org/publications/elibrary-page/?id=17112
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Schörkhuber, Christian; Klapuri, Anssi; Holighaus, Nicki; Dörfler, Monika; 2014; A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution [PDF]; Austrian Academy of Sciences, Vienna, Austria; Tampere University of Technology, Tampere, Finland; University of Music and Performing Arts Graz, Graz, Austria; University of Vienna, Vienna, Austria; Paper P2-5; Available from: https://aes2.org/publications/elibrary-page/?id=17112
Schörkhuber, Christian; Klapuri, Anssi; Holighaus, Nicki; Dörfler, Monika; A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution [PDF]; Austrian Academy of Sciences, Vienna, Austria; Tampere University of Technology, Tampere, Finland; University of Music and Performing Arts Graz, Graz, Austria; University of Vienna, Vienna, Austria; Paper P2-5; 2014 Available: https://aes2.org/publications/elibrary-page/?id=17112
@article{schörkhuber2014a,
author={schörkhuber christian and klapuri anssi and holighaus nicki and dörfler monika},
journal={journal of the audio engineering society},
title={a matlab toolbox for efficient perfect reconstruction time-frequency transforms with log-frequency resolution},
year={2014},
number={P2-5},
month={january},}
TY – paper
TI – A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution
AU – Schörkhuber, Christian
AU – Klapuri, Anssi
AU – Holighaus, Nicki
AU – Dörfler, Monika
PY – 2014
JO – Journal of the Audio Engineering Society
VL – P2-5
Y1 – January 2014