Mmse Speech Spectral Amplitude Estimators With Chi and Gamma Speech Priors

Author

Andrianakis, Ioannis ; White, Paul R.

Author_Institution

Inst. of Sound & Vibration Res., Southampton Univ.

Volume

3

fYear

2006

fDate

14-19 May 2006

Abstract

We present two novel algorithms for optimal MMSE estimation of the speech spectral amplitude, assuming it has been corrupted by additive and uncorrelated noise. The noise DFT coefficients are modelled as Gaussian random variables, while the speech spectral amplitude is modelled using either a Chi or a gamma distribution. The influence of the priors´ shape parameter is investigated. Results from simulations that demonstrate the performance of the proposed algorithms for different noise types and SNRs, as well as a comparison with previously developed MAP estimators are presented

Keywords

Gaussian noise; discrete Fourier transforms; gamma distribution; least mean squares methods; speech processing; Chi speech priors; DFT; Gaussian random variables; MMSE; gamma distribution; gamma speech priors; speech spectral amplitude estimators; uncorrelated noise; Acoustic noise; Amplitude estimation; Background noise; Discrete Fourier transforms; Gaussian noise; Noise level; Noise shaping; Shape; Speech enhancement; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660842

Filename

1660842