Title :
Time-frequency and time-scale analysis for musical transcription
Author :
Pielemeier, W.J. ; Wakefield, G.H.
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
Abstract :
A representation in Cohen´s class which improves on existing methods for a large class of musical signals is developed. The pseudo-Wigner distribution is extended to a constant-Q form well suited to the frequency resolution required for musical signal and pitch analysis. It has excellent resolution, but fails to provide even limited superposition. A kernel is designed for Cohen´s class, based on a musical signal model, that provides a limited superposition property while maintaining improved resolution when applied to the constant-Q pseudo-Wigner distribution. Results are presented comparing these techniques to short-time Fourier methods
Keywords :
acoustic signal processing; music; time-frequency analysis; constant-Q; frequency resolution; musical signals; musical transcription; pitch analysis; pseudo-Wigner distribution; short-time Fourier methods; time-frequency analysis; time-scale analysis; Instruments; Kernel; Multiple signal classification; Signal analysis; Signal design; Signal processing; Signal resolution; Smoothing methods; Source separation; Time frequency analysis;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0805-0
DOI :
10.1109/TFTSA.1992.274128