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This paper presents a new approach to elimination of impulsive disturbances from stereo audio recordings. The proposed solution is based on vector autoregressive modeling of audio signals. Online tracking of signal model parameters is performed using the exponentially weighted least squares algorithm. Detection of noise pulses and model-based interpolation… (More)
The paper addresses the problems of impulsive noise detection for audio signals. A structure of threshold parameter detectors using modeling of signal was introduced. The algorithm of noise detection, based on discrete-time hidden Markov model (HMM) of whitened audio signal is elaborated.