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How to utilize the time correlation of speech/nonspeech presence is a crucial problem faced by noise estimators. The popular technique of exploiting such correlation is to smooth noisy spectra by using a temporal recursive filter with a time-varying smoothing factor. But this technique cannot warrant the statistical optimality. In theory, hidden Markov model (HMM) is more desirable than this technique...
In this paper, the performance of eight state-of-the-art objective measures is evaluated in terms of predicting speech intelligibility in Mandarin of the processed signals by noise-reduction algorithms. The speech signals were first corrupted by three types of noises at two signal-to-noise ratios and subsequently processed by four classes of noise reduction algorithms, followed by objective intelligibility...
A novel image quality assessment is proposed based on the characteristics of wavelet coefficients of images and the correlativity in this paper. Firstly, the reference image and the distorted images are decomposed into several levels by means of the wavelet transform respectively. Secondly, the approximation and detail coefficients of the reference image are as the reference sequences and the approximation...
A new method of information theory technology combining with Petri nets was put forward to set up condenser fault diagnosis Petri nets modeling of multi-sensor fusion system in this paper by its operating characteristic. The information entropy is regarded as the standard of reduction to decrease uncertainty between faults and symptoms using the property with maximum information gains to set up optimal...
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