Evaluation of Iterative Methods for Wavetable Matching
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S. Wun, and A. Horner, "Evaluation of Iterative Methods for Wavetable Matching," J. Audio Eng. Soc., vol. 53, no. 9, pp. 826-835, (2005 September.). doi:
S. Wun, and A. Horner, "Evaluation of Iterative Methods for Wavetable Matching," J. Audio Eng. Soc., vol. 53 Issue 9 pp. 826-835, (2005 September.). doi:
Abstract: [Engineering Report] Matching musical instrument tones is a classic problem in computer music. Previous work has shown various noniterative methods to be successful. Iterative methods, where the basis spectra are found one by one over several iterations, have received much less attention. Iterative methods are more efficient, with a linear running time. Several iterative methods are evaluated and compared. Matching results for a range of instruments show, surprisingly, that iterative local search can find matches comparable to near-optimal noniterative matches. As an added advantage, iterative local search offers real-time control of the number of wavetables, allowing computation and memory efficiency, and good matching accuracy.
@article{wun2005evaluation,
author={wun, simon and horner, andrew},
journal={journal of the audio engineering society},
title={evaluation of iterative methods for wavetable matching},
year={2005},
volume={53},
number={9},
pages={826-835},
doi={},
month={september},}
@article{wun2005evaluation,
author={wun, simon and horner, andrew},
journal={journal of the audio engineering society},
title={evaluation of iterative methods for wavetable matching},
year={2005},
volume={53},
number={9},
pages={826-835},
doi={},
month={september},
abstract={[engineering report] matching musical instrument tones is a classic problem in computer music. previous work has shown various noniterative methods to be successful. iterative methods, where the basis spectra are found one by one over several iterations, have received much less attention. iterative methods are more efficient, with a linear running time. several iterative methods are evaluated and compared. matching results for a range of instruments show, surprisingly, that iterative local search can find matches comparable to near-optimal noniterative matches. as an added advantage, iterative local search offers real-time control of the number of wavetables, allowing computation and memory efficiency, and good matching accuracy.},}
TY - paper
TI - Evaluation of Iterative Methods for Wavetable Matching
SP - 826
EP - 835
AU - Wun, Simon
AU - Horner, Andrew
PY - 2005
JO - Journal of the Audio Engineering Society
IS - 9
VO - 53
VL - 53
Y1 - September 2005
TY - paper
TI - Evaluation of Iterative Methods for Wavetable Matching
SP - 826
EP - 835
AU - Wun, Simon
AU - Horner, Andrew
PY - 2005
JO - Journal of the Audio Engineering Society
IS - 9
VO - 53
VL - 53
Y1 - September 2005
AB - [Engineering Report] Matching musical instrument tones is a classic problem in computer music. Previous work has shown various noniterative methods to be successful. Iterative methods, where the basis spectra are found one by one over several iterations, have received much less attention. Iterative methods are more efficient, with a linear running time. Several iterative methods are evaluated and compared. Matching results for a range of instruments show, surprisingly, that iterative local search can find matches comparable to near-optimal noniterative matches. As an added advantage, iterative local search offers real-time control of the number of wavetables, allowing computation and memory efficiency, and good matching accuracy.
[Engineering Report] Matching musical instrument tones is a classic problem in computer music. Previous work has shown various noniterative methods to be successful. Iterative methods, where the basis spectra are found one by one over several iterations, have received much less attention. Iterative methods are more efficient, with a linear running time. Several iterative methods are evaluated and compared. Matching results for a range of instruments show, surprisingly, that iterative local search can find matches comparable to near-optimal noniterative matches. As an added advantage, iterative local search offers real-time control of the number of wavetables, allowing computation and memory efficiency, and good matching accuracy.