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We propose a noise suppression algorithm using Kalman filter with colored driving source. The algorithm aims to achieve robust noise suppression with reduced computational complexity by modifying the canonical state space models in. The remarkable features of the proposed algorithm are that it can be realized by 3 multiplications and that it has the better performances compared with despite the reduction...
We have proposed a robust noise suppression algorithm with Kalman filter theory [7]. In this paper, we propose a fast noise suppression algorithm by modifying the canonical state space model in [7]. The algorithm aims to achieve robust noise suppression with reduced computational complexity without sacrificing high quality of speech signal. The remarkable features of the proposed algorithm are that...
This paper deals with the problem of noise suppression for white and colored noises. Kalman filter based noise suppression is well known as effective approach, and usually performs the parameter estimation algorithm of AR (auto-regressive) system and then the Kalman filter algorithm. In this paper, we propose Kalman filter for robust noise suppression without the conception of AR system. The algorithm...
We propose a noise suppression algorithm based on Kaiman filter. The algorithm achieves a noise suppression with high speech quality under the condition of the AWGN (additive white Gaussian noise), from the canonical state space models with a state equation composed of the clean speech signal and an observation equation composed of the clean speech signal and AWGN. The special feature of the proposed...
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