Publications – Details
Optimized Estimation of Spectral Parameters for the Coding of Noisy Speech
- Authors:
- Rainer Martin, Ingo Wittke, and Peter Jax
- Book Title:
- Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
- Venue:
- Istanbul, Turkey
- Date:
- June 2000
- Pages:
- 1479–1482
- 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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