935 resultados para audiovisual speech


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Published by the Committee of Arrangement of Washington County, Maryland Printed by G.B. Zeiber and Co.

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Full Title: Speech of the Hon. Daniel Sheffey : on the Bill "to authorise the President of the United States to call upon the several States and Territories thereof for their respective quotas of eighty thousand men for the defence of the frontiers of the United States against invasion", delivered in the House of Representatives of the United States, on the tenth day of December, 1814 Printed by Rapine and Elliot

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Full Title: Speech of the Hon. Daniel Webster, delivered in the House of Representatives of the United States, on the 14th January, 1814, on a bill making further provision for filling the ranks of the regular army, encouraging enlistments, and authorising the enlistments for longer periods of men whose terms of service are about to expire Printed by Snowden and Simms

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A speech given by Sean O'Sullivan, 28 October 1970, at the Annual Meeting of the Fort Erie Progressive Conservative Association. He was President of the Ontario Young Progressive Conservative Association at the time and chose to speak out on his personal position against Marijuana.

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A speech by Sean O'Sullivan, given in the House of Commons, "For the Recognition of the Beaver as a Symbol of the Sovereignty of the Dominion of Canada".

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Tesis (Maestría en Ciencias Odontológicas con Especialidad en Odontopediatría) UANL, 2011.

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Tesis (Maestría en Docencia con orientación en Educación Media Superior) UANL, 2014.

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Thesis written in co-mentorship with Richard Chase Smith Ph.D, of El Instituto del Bien Comun (IBC) in Peru. The attached file is a pdf created in Word. The pdf file serves to preserve the accuracy of the many linguistic symbols found in the text.

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La perception de mouvements est associée à une augmentation de l’excitabilité du cortex moteur humain. Ce système appelé « miroir » sous-tendrait notre habileté à comprendre les gestes posés par une tierce personne puisqu’il est impliqué dans la reconnaissance, la compréhension et l’imitation de ces gestes. Dans cette étude, nous examinons de quelle façon ce système miroir s’implique et se latéralise dans la perception du chant et de la parole. Une stimulation magnétique transcrânienne (TMS) à impulsion unique a été appliquée sur la représentation de la bouche du cortex moteur de 11 participants. La réponse motrice engendrée a été mesurée sous la forme de potentiels évoqués moteurs (PÉMs), enregistrés à partir du muscle de la bouche. Ceux-ci ont été comparés lors de la perception de chant et de parole, dans chaque hémisphère cérébral. Afin d’examiner l’activation de ce système moteur dans le temps, les impulsions de la TMS ont été envoyées aléatoirement à l’intérieur de 7 fenêtres temporelles (500-3500 ms). Les stimuli pour la tâche de perception du chant correspondaient à des vidéos de 4 secondes dans lesquelles une chanteuse produisait un intervalle ascendant de deux notes que les participants devaient juger comme correspondant ou non à un intervalle écrit. Pour la tâche de perception de la parole, les participants regardaient des vidéos de 4 secondes montrant une personne expliquant un proverbe et devaient juger si cette explication correspondait bien à un proverbe écrit. Les résultats de cette étude montrent que les amplitudes des PÉMs recueillis dans la tâche de perception de chant étaient plus grandes après stimulation de l’hémisphère droit que de l’hémisphère gauche, surtout lorsque l’impulsion était envoyée entre 1000 et 1500 ms. Aucun effet significatif n’est ressorti de la condition de perception de la parole. Ces résultats suggèrent que le système miroir de l’hémisphère droit s’active davantage après une présentation motrice audio-visuelle, en comparaison de l’hémisphère gauche.

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Medical fields requires fast, simple and noninvasive methods of diagnostic techniques. Several methods are available and possible because of the growth of technology that provides the necessary means of collecting and processing signals. The present thesis details the work done in the field of voice signals. New methods of analysis have been developed to understand the complexity of voice signals, such as nonlinear dynamics aiming at the exploration of voice signals dynamic nature. The purpose of this thesis is to characterize complexities of pathological voice from healthy signals and to differentiate stuttering signals from healthy signals. Efficiency of various acoustic as well as non linear time series methods are analysed. Three groups of samples are used, one from healthy individuals, subjects with vocal pathologies and stuttering subjects. Individual vowels/ and a continuous speech data for the utterance of the sentence "iruvarum changatimaranu" the meaning in English is "Both are good friends" from Malayalam language are recorded using a microphone . The recorded audio are converted to digital signals and are subjected to analysis.Acoustic perturbation methods like fundamental frequency (FO), jitter, shimmer, Zero Crossing Rate(ZCR) were carried out and non linear measures like maximum lyapunov exponent(Lamda max), correlation dimension (D2), Kolmogorov exponent(K2), and a new measure of entropy viz., Permutation entropy (PE) are evaluated for all three groups of the subjects. Permutation Entropy is a nonlinear complexity measure which can efficiently distinguish regular and complex nature of any signal and extract information about the change in dynamics of the process by indicating sudden change in its value. The results shows that nonlinear dynamical methods seem to be a suitable technique for voice signal analysis, due to the chaotic component of the human voice. Permutation entropy is well suited due to its sensitivity to uncertainties, since the pathologies are characterized by an increase in the signal complexity and unpredictability. Pathological groups have higher entropy values compared to the normal group. The stuttering signals have lower entropy values compared to the normal signals.PE is effective in charaterising the level of improvement after two weeks of speech therapy in the case of stuttering subjects. PE is also effective in characterizing the dynamical difference between healthy and pathological subjects. This suggests that PE can improve and complement the recent voice analysis methods available for clinicians. The work establishes the application of the simple, inexpensive and fast algorithm of PE for diagnosis in vocal disorders and stuttering subjects.

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This thesis investigates the potential use of zerocrossing information for speech sample estimation. It provides 21 new method tn) estimate speech samples using composite zerocrossings. A simple linear interpolation technique is developed for this purpose. By using this method the A/D converter can be avoided in a speech coder. The newly proposed zerocrossing sampling theory is supported with results of computer simulations using real speech data. The thesis also presents two methods for voiced/ unvoiced classification. One of these methods is based on a distance measure which is a function of short time zerocrossing rate and short time energy of the signal. The other one is based on the attractor dimension and entropy of the signal. Among these two methods the first one is simple and reguires only very few computations compared to the other. This method is used imtea later chapter to design an enhanced Adaptive Transform Coder. The later part of the thesis addresses a few problems in Adaptive Transform Coding and presents an improved ATC. Transform coefficient with maximum amplitude is considered as ‘side information’. This. enables more accurate tfiiz assignment enui step—size computation. A new bit reassignment scheme is also introduced in this work. Finally, sum ATC which applies switching between luiscrete Cosine Transform and Discrete Walsh-Hadamard Transform for voiced and unvoiced speech segments respectively is presented. Simulation results are provided to show the improved performance of the coder