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In this paper, we first review several approaches of feature extraction algorithms in robust speech recognition, e.g. Mel frequency cepstral coefficients (MFCC) [1], perceptual linear prediction (PLP) [2] and power-normalized cepstral coefficients (PNCC) [3]. A new feature extraction algorithm for noise robust speech recognition is proposed, in which medium-time processing works as noise suppression...
Copy-move is a common used forgeries in digital image tampering. In this paper, a non block-matching based fast method to detect image copy-move forgery is proposed exploiting phase correlation. Results of experiments indicate that the proposed method is valid in detecting the image region duplication and quite robust to additive noise and blurring.
Automatic scene detection is a fundamental step for efficient video searching and browsing. This paper presents our current work on scene detection that integrates three effective strategies into a single framework. For each video, firstly, a coherence signal is constructed by graph modal obtained from the similarity matrix in a temporal interval. Secondly, the signal is optimized by scene transition...
The gyro stabilized platform control is required to isolate the line of sight (LOS) from the disturbance and vibration of carrier and ensure pointing and tracking for target in electro-optical tracking system. A compound adaptive fuzzy PID control with hysteresis-band switching is developed for this servo system with nonlinear property and some uncertainties. Here, in the adaptive fuzzy controller,...
Monaural speech segregation is a very challenging problem which has been studied by many researchers. In this paper, we focus on voiced speech segregation. Different strategies are used to segregate resolved and unresolved harmonics respectively. For resolved harmonics, "harmonicity" principle and a novel mechanism based on "minimum amplitude" principle are employed. Amplitude...
In this paper, we introduce a multipitch detection algorithm which is based on weighted summary correlogram. The weight is described as a conditional probability which models the relationship between fundamental frequency (FO) of periodic sound and response frequency of its dominated channels. Modified by this weight, SACF obtains more robustness to noise and to sub-harmonic error. The proposed algorithm...
The theoretic foundation of traditional microphone array post-filters is the assumption that the noise between sensors is uncorrelated. However, this assumption is inaccurate in real environments since the correlated noise exists. In this paper, a generalized microphone array post-filter is proposed to deal with both the correlated and uncorrelated noise in environments and a novel perceptual filter...
In WDM all-optical networks where electrical regeneration is not available, physical impairments due to propagation in the fibers, amplifier noise, and leaks between channels and in the switches cannot be removed at the physical layer. These effects cause calls, especially between physically distant nodes, to be rejected because they cannot meet minimum Quality of Transmission (QoT) requirements,...
This paper presents an effective single-channel speech enhancement algorithm that combines the merits of multi-band analysis and minimum-mean-squared-error (MMSE) spectral subtraction. Conventional spectral subtraction algorithm advocates subtraction of the noise spectrum estimate over the entire speech spectrum. Taking that most real-world noise are colored with a nonuniform spectrum into account,...
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