Speech Enhancement Using Adaptive Kalman Filter Combined With Perceptual Weighting Filter

Speech Enhancement Using Adaptive Kalman Filter Combined With Perceptual Weighting Filter

The speech enhancement is one of the important techniques used to improve the quality of a speech signal i.e. degraded by noise. Speech enhancement using conventional kalman filter require calculating the parameters of AR (auto-regressive) model, and performing a lot of matrix operations, which is non-adaptive. In this paper the proposed method i.e. adaptive kalman filter combined with perceptu...

Speech enhancement using kalman filter pdf

In the problem of speech enhancement, where a speech signal is corrupted by.In this paper, we propose to combine the Kalman filter with a recent speech enhancement technique, called the phase spectrum compensation procedure, or.we present a class of Kalman filter-based algorithms with some extensions, modifications. These algorithms with alternative speech enhancement algorithms. Conversations ...

Kalman Filter in Speech Enhancement

Perceptual weighting filter for robust speech modification

In this paper, an improved preprocessor for low-bit-rate speech coding employing the perceptual weighting filter is proposed. Speech modification in the proposed approach is performed according to a criterion which makes a compromise between the modification and perceptual weighted quantization errors. For this, the perceptual weighting filter is expressed in terms of a transform domain matrix....

Doppler and bearing tracking using fuzzy adaptive unscented Kalman filter

The topic of Doppler and Bearing Tracking (DBT) problem is to achieve a target trajectory using the Doppler and Bearing measurements. The difficulty of DBT problem comes from the nonlinearity terms exposed in the measurement equations. Several techniques were studied to deal with this topic, such as the unscented Kalman filter. Nevertheless, the performance of the filter depends directly on the...