Speaker independent speech recognition system has been a challenging field of research since speech is the most basic and natural means of communication. In this work, a speech recognition system is developed for recognizing isolated words in Malayalam. Here we have used two wavelet based techniques namely Discrete Wavelet Transforms (DWT) and Wavelet Packet Decomposition (WPD) for extracting f...

In this paper, a wavelet packet decomposition (WPD) based real-time transcale linearquadratic-Gaussian (LQG) tracking control algorithm is given for a class of discrete stochastic systems, which is developed with the state-space models of wavelet packet coefficients at the coarsest scale decomposition layer established by Haar WPD. The WPD-based transcale control algorithm provides a compromise...

High sensitivity of a distributed optical-fiber vibration sensing (DOVS) system based on the phase-sensitivity optical time domain reflectometry (Φ-OTDR) technology also brings in high nuisance alarm rates (NARs) in real applications. In this paper, feature extraction methods of wavelet decomposition (WD) and wavelet packet decomposition (WPD) are comparatively studied for three typical field t...

In this paper, we present a new speech perceptual hashing authentication algorithm based on wavelet packet decomposition (WPD) for speech content authentication. Firstly, a wavelet packet coefficients matrix of wavelet reconstruction is generated from an original speech signal after high frequency pre-processing followed by wavelet packet decomposition. Secondly, the wavelet packet coefficients...

In this paper, we propose a speech enhancement system, which integrates a bark-scaled wavelet packet decomposition (BS-WPD), a soft-decision gain modi cation and a \magnitude" decision-directed estimation technique. The BS-WPD provides an overcomplete auditory representation, having a higher frequency resolution than the critical band decomposition. Speech is estimated by Wiener ltering in the ...

In this paper, a speech recognition system is developed for recognizing speaker-independent, isolated words. Speech recognition is a fascinating application of Digital Signal Processing and is a pattern classification task wherein an input pattern is classified as a sequence of stored patterns that have previously been learned. Isolated words in Malayalam, which belong to one of the four Dravid...

A structural damage identification approach based on wavelet packet decomposition (WPD) and random forests (RF) was proposed and compared with other pattern classification approachs. The main procedure involves extracting energy features from vibration acceleration data through wavelet packet decomposition and then using these features as input for a RF classifier. The experiment was carried on...

In the search for adaptive representation of speech signals, the Wavelet Packet Decomposition (WPD) has been proved to be a eecient tool because of its frequency adaptation skills through the best basis search algorithm. The en-tropic minimization of this algorithm is bounded by t wo artifacts : the dyadic structure of the decomposition and the lack of temporal segmentation. We propose here a l...

Speech processing and consequent recognition are important areas of Digital Signal Processing since speech allows people to communicate more natu-rally and efficiently. In this work, a speech recognition system is developed for re-cognizing digits in Malayalam. For recognizing speech, features are to be ex-tracted from speech and hence feature extraction method plays an important role in speech...

in this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. then, for optimizing the initial feature vector, a genetic algorithm is proposed. some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of the different classifiers (ensemble of decision tree, discriminant analysis and k-nearest neig...