Using phase information to improve the reconstruction accuracy in sinusoidal modeling

Clara Hollomey, David Moore, Don Knox, Owen Brimijoin, William Whitmer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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
Original languageEnglish
Title of host publicationProceedings of the 140th International AES Convention
PublisherAudio Engineering Society
Publication statusPublished - 26 May 2016

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    Hollomey, C., Moore, D., Knox, D., Brimijoin, O., & Whitmer, W. (2016). Using phase information to improve the reconstruction accuracy in sinusoidal modeling. In Proceedings of the 140th International AES Convention Audio Engineering Society.