Title :
Spectral envelope estimation using a penalized likelihood criterion
Author :
Cappé, Olivier ; Oudot, Marine ; Moulines, Eric
Author_Institution :
ENST Dept. Signal, CNRS, Paris, France
Abstract :
Finding a smooth spectral envelope that connects estimated sinusoids is a topic of major importance in audio signal processing. A penalized likelihood criterion is introduced for the estimation of the spectral envelope in the presence of measurement noise. Various simulation results are presented that highlight the efficiency of the proposed performance criterion
Keywords :
acoustic signal processing; audio signals; maximum likelihood estimation; smoothing methods; spectral analysis; statistical analysis; audio signal processing; estimated sinusoids; measurement noise; penalized likelihood criterion; performance criterion efficiency; simulation results; spectral envelope estimation; statistical analysis; Filters; Frequency estimation; Frequency measurement; Frequency response; Inverse problems; Least squares approximation; Noise measurement; Parameter estimation; Particle measurements; Signal processing;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 1997. 1997 IEEE ASSP Workshop on
Conference_Location :
New Paltz, NY
Print_ISBN :
0-7803-3908-8
DOI :
10.1109/ASPAA.1997.625612
