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Sinusoidal modeling is one of the most common techniques for general purpose audio synthesis and analysis. Owing to the ever increasing amount of available computational resources, nowadays practically all types of sounds can be constructed up to a certain degree of perceptual accuracy. However, the method is computationally expensive and can for some cases, particularly for transient signals, still exceed the available computational resources. In this work methods derived from the realm of machine learning are exploited to provide a simple and efficient means to estimate the achievable reconstruction quality. The peculiarities of common classes of musical instruments are discussed and finally, the existing metrics are extended by information on the signal`s phase propagation to allow for more accurate estimations.
Author (s): Hollomey, Clara; Moore, David; Knox, Don; Brimijoin, W. Owen; Whitmer, William
Affiliation:
Glasgow Caledonian University, Glasgow, Scotland, UK; MRC/CSO Institute of Hearing Research, Glasgow, Scotland, UK
(See document for exact affiliation information.)
AES Convention: 140
Paper Number:9492
Publication Date:
2016-05-06
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Session subject:
Audio Signal Processing: Coding, Encoding, and Perception
Permalink: https://aes2.org/publications/elibrary-page/?id=18191
(668KB)
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Hollomey, Clara; Moore, David; Knox, Don; Brimijoin, W. Owen; Whitmer, William; 2016; Using Phase Information to Improve the Reconstruction Accuracy in Sinusoidal Modeling [PDF]; Glasgow Caledonian University, Glasgow, Scotland, UK; MRC/CSO Institute of Hearing Research, Glasgow, Scotland, UK; Paper 9492; Available from: https://aes2.org/publications/elibrary-page/?id=18191
Hollomey, Clara; Moore, David; Knox, Don; Brimijoin, W. Owen; Whitmer, William; Using Phase Information to Improve the Reconstruction Accuracy in Sinusoidal Modeling [PDF]; Glasgow Caledonian University, Glasgow, Scotland, UK; MRC/CSO Institute of Hearing Research, Glasgow, Scotland, UK; Paper 9492; 2016 Available: https://aes2.org/publications/elibrary-page/?id=18191
@article{hollomey2016using,
author={hollomey clara and moore david and knox don and brimijoin w. owen and whitmer william},
journal={journal of the audio engineering society},
title={using phase information to improve the reconstruction accuracy in sinusoidal modeling},
year={2016},
number={9492},
month={may},}