The present study proposes a new parameter for identifying breathy to tense voice qualities in a given speech segment using measurements from the wavelet transform. Techniques that can deliver robust information on the voice quality of a speech segment are desirable as they can help tune analysis strategies as well as provide automatic voice quality annotation in large corpora. The method descr...

The determination of Glottal Closure Instant (GCI) is an important task in voice signal analysis. At GCI the vocal folds close the glottis for the airstream coming from the lungs. By opening and closing the airstream passage the vocal folds generate quasi periodic impulse source for the vocal tract system. GCI determine the instantaneous voice signal pitches. They are used for speaker identific...

this paper presents a new coding method for image compression based on jpeg2000 and contourlet transform. jpeg2000 standard is a common standard that uses discrete wavelet transform (dwt) in the compression process. the main problems of dwt are failure to detect curved edges in image and its shortage representation of the ridge and furrow patterns which cause deficiency and block artifacts rema...

this paper gives the idea about lip reading. Generally image processing is done to process an image for different application. There is variety of transform base feature extraction method. Visual recognition system or lip reading method is important generally in noisy condition. The new modality in image processing area is gives you dictation of voice. Keywords— ANN (Artificial Neural Network),...

in this paper, we present an edge detection method based on wavelet transform and hessian matrix of image at each pixel. many methods which based on wavelet transform, use wavelet transform to approximate the gradient of image and detect edges by searching the modulus maximum of gradient vectors. in our scheme, we use wavelet transform to approximate hessian matrix of image at each pixel, too. ...

In this paper a method to analyze pathological speech signal using wavelet transform is suggested. Pathological speech signal is commercially available pathological voice database and analyzed by the suggested method. Normal speech signal is also from the same database and analyzed as well. Then the results are compared to find the differences between normal and pathological speech. Three level...

According to the concept of wavelet, the thesis analyse the peculiarity of wavelet, and applies Mallat algorithm of wavelet method to treat the photoacoustic signals of water content in oil. Mallat algorithm is a kind of multi-resolution wavelet transform. In large scale space roughly corresponds to the signal profile,in small scale space roughly corresponds to the signal details. This algorith...

Wavelet transformation is one of the most practical mathematical transformations in the field of image processing, especially image and signal processing. Depending on the nature of the multiresolution analysis, Wavelet transformation become more accessible and powerful tools. In this paper, we refer to the mathematical foundations of this transformation.   Introduction: The...

This paper mainly addresses the problem of determining voice activity in presence of noise, especially in a dynamically varying background noise. The proposed voice activity detection algorithm is based on structure of three-layer wavelet decomposition. Appling auto-correlation function into each subband exploits the fact that intensity of periodicity is more significant in sub-band domain than...