Title :
Time-frequency signal models for music analysis, transformation, and synthesis
Author :
Goodwin, Michael ; Vetterli, Martin
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
In signal analysis-synthesis, the analysis derives a set of parameters that the synthesis uses to reconstruct the original signal. In musical applications, this reconstruction should be perceptually accurate, and the parameterization should allow for such desirable signal modifications as time-scaling, pitch-shifting and cross-synthesis; the analysis parameters should correspond to a signal model that is flexible enough to allow these transformations. Sinusoidal modeling meets this flexibility requirement, but has difficulty representing some salient features of musical signals such as attack transients and noise-like processes. Sinusoidal modeling is reviewed and some variations are proposed to account for its shortcomings; also, wavelet-based representations of musical signals are considered
Keywords :
acoustic signal processing; music; parameter estimation; signal reconstruction; signal representation; signal synthesis; time-frequency analysis; wavelet transforms; analysis parameters; attack transients; cross-synthesis; music analysis; music synthesis; music transformation; musical applications; musical signals; noise-like processes; pitch-shifting; signal analysis-synthesis; signal modifications; signal parameters; signal reconstruction; sinusoidal modeling; time-frequency signal models; time-scaling; wavelet based representations; Acoustic noise; Application software; Mathematical model; Multiple signal classification; Noise reduction; Psychology; Signal analysis; Signal processing; Signal synthesis; Time frequency analysis;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Paris
Print_ISBN :
0-7803-3512-0
DOI :
10.1109/TFSA.1996.546704