Title :
Robust estimation of the spectral envelope for “harmonics+noise” models
Author :
Oudot, Marine ; Cappé, Olivier ; Moulines, Eric
Author_Institution :
CNRS, Paris, France
Abstract :
When sinusoidal speech models are used for coding purpose, it is necessary to design a smooth spectral envelope that connects the estimated harmonics. In this paper, a new method is introduced for parametric modeling of the spectral envelope in the presence of measurement noise. The proposed method is based on a penalised likelihood criterion which can be extended to the case of “mixed” (sinusoidal and noise) models
Keywords :
harmonics; noise; parameter estimation; spectral analysis; speech coding; coding purpose; harmonics; measurement noise; noise; parametric modeling; penalised likelihood criterion; robust estimation; sinusoidal speech models; spectral envelope; Amplitude estimation; Cepstral analysis; Discrete Fourier transforms; Frequency estimation; Least squares approximation; Noise level; Noise measurement; Noise robustness; Optimization methods; Speech coding;
Conference_Titel :
Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-4073-6
DOI :
10.1109/SCFT.1997.623871
