Signal Processing Parameters for Tonality Estimation
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K. Noland, and M. Sandler, "Signal Processing Parameters for Tonality Estimation," Paper 7155, (2007 May.). doi:
K. Noland, and M. Sandler, "Signal Processing Parameters for Tonality Estimation," Paper 7155, (2007 May.). doi:
Abstract: All musical audio feature extraction techniques require some form of signal processing as a first step. However, the choice of low level parameters such as window sizes is often disregarded, and arbitrary values are chosen. We present an investigation into the effects of low level parameter choice on different tonality estimation algorithms, and show that the low level parameters can make a significant difference to the results. We also show that the choice of parameters is algorithm specific, so optimisation is required for each different method.
@article{noland2007signal,
author={noland, katy and sandler, mark},
journal={journal of the audio engineering society},
title={signal processing parameters for tonality estimation},
year={2007},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{noland2007signal,
author={noland, katy and sandler, mark},
journal={journal of the audio engineering society},
title={signal processing parameters for tonality estimation},
year={2007},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={all musical audio feature extraction techniques require some form of signal processing as a first step. however, the choice of low level parameters such as window sizes is often disregarded, and arbitrary values are chosen. we present an investigation into the effects of low level parameter choice on different tonality estimation algorithms, and show that the low level parameters can make a significant difference to the results. we also show that the choice of parameters is algorithm specific, so optimisation is required for each different method.},}
TY - paper
TI - Signal Processing Parameters for Tonality Estimation
SP -
EP -
AU - Noland, Katy
AU - Sandler, Mark
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2007
TY - paper
TI - Signal Processing Parameters for Tonality Estimation
SP -
EP -
AU - Noland, Katy
AU - Sandler, Mark
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2007
AB - All musical audio feature extraction techniques require some form of signal processing as a first step. However, the choice of low level parameters such as window sizes is often disregarded, and arbitrary values are chosen. We present an investigation into the effects of low level parameter choice on different tonality estimation algorithms, and show that the low level parameters can make a significant difference to the results. We also show that the choice of parameters is algorithm specific, so optimisation is required for each different method.
All musical audio feature extraction techniques require some form of signal processing as a first step. However, the choice of low level parameters such as window sizes is often disregarded, and arbitrary values are chosen. We present an investigation into the effects of low level parameter choice on different tonality estimation algorithms, and show that the low level parameters can make a significant difference to the results. We also show that the choice of parameters is algorithm specific, so optimisation is required for each different method.
Authors:
Noland, Katy; Sandler, Mark
Affiliation:
Queen Mary, University of London
AES Convention:
122 (May 2007)
Paper Number:
7155
Publication Date:
May 1, 2007Import into BibTeX
Subject:
Analysis and Synthesis of Sound
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=14140
