Optimized Estimation of Spectral Parameters for the Coding of Noisy Speech

Authors:

Martin, R. ,  Wittke, I. ,  Jax, P.

Book Title:

Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Pages:

p.p. 1479-1482

Address:

Istanbul, Turkey

Date:

Jun. 2000

Language:

English

Abstract

In this contribution we optimize a speech enhancement preprocessor such that a distortion measure in the line spectral frequency (LSF) domain is minimized. We can thus improve the estimation of spectral parameters of a speech coder when the input signal to the coder is a noisy speech signal. The optimization aims at the maximum noise reduction of the enhancement preprocessor. The average maximum noise reduction characteristic is determined as a function of the speech signal SNR and is approximated by an exponential function. Since LSF parameters are widely used in speech coding the results are applicable to a wide range of speech coders and enhancement preprocessors. We report experimental
results for an MMSE log spectral amplitude estimator in conjunction
with the new ETSI adaptive multi-rate (AMR) speech coder. We found that the method is most effective for the low bit rate coding modes.

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