Generalized gamma modeling of speech and its online estimation for speech enhancement

Author

Dat, Tran Huy ; Takeda, Kazuya ; Itakura, Fumitada

Author_Institution

Nagoya Univ., Japan

Volume

4

fYear

2005

fDate

18-23 March 2005

Abstract

Generalized gamma modeling and its online method of parameter estimation of speech spectral magnitude are proposed for MAP based speech enhancement systems. Generalized gamma modeling is shown to be a natural extension of the Gaussian modeling of speech spectral component distribution, and is therefore, able to fit the prior distribution better than the conventional method. An online parameter estimation method for the gamma distribution, based on a moment matching method, is then proposed. The effectiveness of the proposed methods are confirmed by improvement in both SNR and ASR using the AURORA2 standard database, where about 4 dB improvement in SNR and 20% improvement in relative ASR performance are obtained.

Keywords

gamma distribution; maximum likelihood estimation; spectral analysis; speech enhancement; ASR; Gaussian modeling; MAP estimation; SNR; automatic speech recognition; gamma distribution; generalized gamma modeling; moment matching method; online parameter estimation; speech enhancement; speech spectral component distribution; speech spectral magnitude estimation; Additive noise; Automatic speech recognition; Databases; Equations; Gaussian noise; Noise reduction; Parameter estimation; Signal to noise ratio; Speech enhancement; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-8874-7

Type

conf

DOI

10.1109/ICASSP.2005.1415975

Filename

1415975