Filtering of colored noise for speech enhancement and coding
- 1 August 1991
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 39 (8) , 1732-1742
- https://doi.org/10.1109/78.91144
Abstract
Scalar and vector Kalman filters are implemented for filtering speech contaminated by additive white noise or colored noise, and an iterative signal and parameter estimator which can be used for both noise types is presented. Particular emphasis is placed on the removal of colored noise, such as helicopter noise, by using state-of-the-art colored-noise-assumption Kalman filters. The results indicate that the colored noise Kalman filters provide a significant gain in signal-to-noise ratio (SNR), a visible improvement in the sound spectrogram, and an audible improvement in output speech quality, none of which are available with white-noise-assumption Kalman and Wiener filters. When the filter is used as a prefilter for linear predictive coding, the coded output speech quality and intelligibility are enhanced in comparison to direct coding of the noisy speech.<>Keywords
This publication has 25 references indexed in Scilit:
- Iterative algorithms for optimal signal reconstruction and parameter identification given noisy and incomplete dataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Optimal quantization of noisy sourcesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Estimation and vector quantization of noisy speechPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Constrained iterative speech enhancement with application to speech recognitionIEEE Transactions on Signal Processing, 1991
- Signal reconstruction from noisy partial information of its transformIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- A unified approach for encoding clean and noisy sources by means of waveform and autoregressive model vector quantizationIEEE Transactions on Information Theory, 1988
- On Using the Itakura-Saito Measures for Speech Coder Performance EvaluationAT&T Bell Laboratories Technical Journal, 1984
- A spectral matching technique for ARMA parameter estimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1984
- LPC distance measures and statistical tests with particular reference to the likelihood ratioIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- An Algorithm for Vector Quantizer DesignIEEE Transactions on Communications, 1980