Adaptive speech estimation for low SNR and cochannel FM

Author

Einicke, Garry

Author_Institution

Div. of Commun., Defence Sci. & Technol. Organ., Salisbury, SA, Australia

fYear

1996

fDate

18-20 Nov 1996

Firstpage

312

Lastpage

315

Abstract

An adaptive method for estimating the speech message from low SNR and co-channel FM signals is described. A sinusoidal nonlinearity is introduced to provide some smoothness in the reconstruction of speech from noisy data. A saturating nonlinearity is introduced to reduce the effect of interfering co-channel signals. The unknown states and model parameters are learned via the expectation maximisation (EM) algorithm. The results of simulations are presented which demonstrate improvements in speech recovery compared to a conventional FM demodulator

Keywords

adaptive estimation; adaptive signal processing; cochannel interference; frequency modulation; noise; optimisation; signal reconstruction; speech processing; FM demodulator; adaptive speech estimation; cochannel FM signals; expectation maximisation algorithm; interfering signals; model parameter learning; noisy data; saturating nonlinearity; signal to noise ratio; simulations; sinusoidal nonlinearity; smooth speech reconstruction; speech recovery; unknown states; Acoustic noise; Adaptive systems; Australia; Demodulation; Frequency modulation; Noise measurement; Phase measurement; Signal to noise ratio; Speech enhancement; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems, 1996., Australian and New Zealand Conference on

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-3667-4

Type

conf

DOI

10.1109/ANZIIS.1996.573972

Filename

573972