TY - GEN
T1 - Using phase information to improve the reconstruction accuracy in sinusoidal modeling
AU - Hollomey, Clara
AU - Moore, David
AU - Knox, Don
AU - Brimijoin, Owen
AU - Whitmer, William
N1 - AAM and acceptance email req'd, to determine whether in REF scope. 28/5/19 DC and 18/6/19 ET
Author confirmed accepted in March 2016 - out with REF scope. ET 18/6/19
PY - 2016/5/26
Y1 - 2016/5/26
N2 - 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
AB - 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
UR - http://www.aes.org/e-lib/browse.cfm?elib=18191
M3 - Conference contribution
BT - Proceedings of the 140th International AES Convention
PB - Audio Engineering Society
ER -