Sparse blind deconvolution is the problem of estimating the blur kernel and sparse excitation, both of which are unknown. Considering a linear convolution model, as opposed to the standard circular convolution model, we derive a sufficient condition for stable deconvolution. The columns of the linear convolution matrix form a Riesz basis with the tightness of the Riesz bounds determined by the ...

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...

this paper reports on a behavioral study that explores the role of culture and gender in the recognition of emotional speech in an under investigated cultural context (a collectivist society: i.e., iran). participants were asked to recognize the emotional prosody of a set of validated emotional vocal portrayals (including the five basic emotions). findings of the experiment were then compared w...

Introduction: Use of patient-based voice assessment scales is an appropriate method that is frequently used to demonstrate effectiveness of voice therapy. This study was aimed at determining the effectiveness ofvoice therapy among patients with secondary muscle tension dysphonia (MTD) and vocal mass lesions.   Materials and Methods: The study design was prospective, with within-participant repe...

Background & Aims: Previous studies have indicated significant differences in vocal parameters between children with Down syndrome and normal children, but there are challenges about these differences. In this study vocal parameters and Maximum Phonation Time (MPT) in adults with Down syndrome have been investigated. Method: This cross-sectional and analytic study was performed on 22 adults wit...

the speech is an easily accessible signal which clearly represents the characteristics of larynx and vocal folds. therefore, application of some proper machine learning algorithms on a small part of a recorded speech signal may help in non-invasive diagnosing of vocal fold diseases. since there are some experimental evidences that suggest the existence of chaotic behavior in speech production s...

conclusions significant difference in the fundamental frequency, jitter, shimmer, silence duration, friction duration, vocalization duration, and vocal cords contact quality index between the two groups was observed (p < 0.01). results the mean of fundamental frequency for the hearing loss children and the control group were 323.04 hz and 267.53 hz, jitter 10.05% and 1.52%, shimmer 17.24 and 5....

We present several polynomialand quasipolynomial-time approximation schemes for a large class of generalized operator norms. Special cases include the 2 → q norm of matrices for q > 2, the support function of the set of separable quantum states, finding the least noisy output of entanglement-breaking quantum channels, and approximating the injective tensor norm for a map between two Banach spac...