A Proposal for using SMS for Expression Modeling

Juan Reyes; Cynthia Lawson
DAFx-1998 - Barcelona
Spectral models have proven to be a successful method for analyzing and re-synthesizing natural and acoustic sounds, to the extent that a musical phrase can also be modeled in order to extract performance parameters. This paper suggests various parameters which are embedded in the spectral analysis or .sms file and proposes some methods which can be used for expression modeling based upon compositional, perceptive, and cognition approaches. The focus is on achieving the means to construct a translation algorithm which the composer can use as a tool to analyze expressive material such as a musical phrase or a spoken sentence of text, and apply detected parameters to the vectors of a physical model or a synthesis algorithm..