The accuracy of automatic speech recognizer degrades rapidly when speech was distorted by noise. Robustness against noise arises to be one of the challenge problems. In this paper, a hidden Markov model (HMM) based data imputation approach is presented to improve speech recognition robustness against noise at the front-end of recognizer. Considering the correlation between different filter-bank...

In filtering problems the (posterior) state distribution p(x) is recursively estimated given observations y and state dynamics. For nonlinear observation functions, the state distribution can becomemultimodal. Common Solutions are 1.Unimodal Gaussian filter using linearization of obs. function. 2. “Bank of filters” using multiple independent unimodal filters. We present a variational approach f...

Keystroke Dynamics is an important biometric solution for person authentication. Based upon keystroke dynamics, this paper designs an embedded password protection device, develops an online system, collects two public databases for promoting the research on keystroke authentication, exploits the Gabor filter bank to characterize keystroke dynamics, and provides benchmark results of three popula...

This paper analyzes the bit-error-rate (BER) performance of filter bank multicarrier systems with offset quadrature amplitude modulation (FBMC-OQAM) in the presence of phase offset. We consider that the FBMC intrinsic-interference has a Gaussian probability distribution, and we derive the BER analytical expressions for multilevel modulation (M-OQAM) over Rayleigh flat fading channels. Analytica...

A new filter bank approach for speaker recognition front-end is proposed. The conventional mel-scaled filter bank is replaced with a speaker-discriminative filter bank. Filter bank is selected from a library in adaptive basis, based on the broad phoneme class of the input frame. Each phoneme class is associated with its own filter bank. Each filter bank is designed in a way that emphasizes disc...

A new filter bank approach for speaker recognition front-end is proposed. The conventional mel-scaled filter bank is replaced with a speaker-discriminative filter bank. Filter bank is selected from a library in adaptive basis, based on the broad phoneme class of the input frame. Each phoneme class is associated with its own filter bank. Each filter bank is designed in a way that emphasizes disc...

Novel features and weak classifiers are proposed for face detection within the AdaBoost learning framework. Features are histograms computed from a set of spatial templates in filtered images. The filter banks consist of Intensity, Laplacian of Gaussian (Difference of Gaussians), and Gabor filters, aiming at capturing spatial and frequency properties of faces at different scales and orientation...

The sensitivity of human ear is dependent on frequency which is nonlinearly resolved across the audio spectrum .Now to improve the recognition performance in a similar non linear approach requires a front end design, suggested by empirical evidences. A popular alternative to linear prediction based analysis is therefore filter bank analysis since this provides a much more straightforward route ...

Issue of the iterated filters in the directional filter bank is examined. The result is called pyramidal directional filter bank PDFB. Recently.NDFB with a new multiscale pyramid, we propose the surfacelet transform, which. A Frequency partitioning of the directional filter bank with 3 levels.In this paper, multiscale directional filter bank MDFB is investigated for texture characterization. Te...