Articles liés à Optimization techniques for speech emotion recognition
Synopsis
The aim of a speech emotion recognizer is to produce an estimate of the emotional state of the speaker given a speech fragment as an input. In other words we seek a solution for the tricky problem: given a speech fragment how to know what the speaker is feeling, even if she did not intend us to know that. How would it be possible to construct such recognizers? Intuitively, when emotion is experienced, there are physiological changes, for example faster heart rate or higher blood pressure. Some of these physiological changes affect speech production organs and they are in a state different from normal, therefore the speech signal comes out of the mouth distorted as compared to emotionally neutral. Different emotions trigger different physiological changes. Thus, we can record speech in different emotional states, measure acoustic parameters of the wave, form feature vectors from these measurements, divide our data set into the training and the test sets. Train the classifier, say, the decision tree, on the train set and see how well it can predict on the test set.
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À propos de l'auteur
Julia Sidorova received her master diploma from Moscow State University in 2002 and her PhD from Universitat Pompeu Fabra, Spain in 2009.
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Optimization techniques for speech emotion recognition
Edité par
LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10 : 3843368023
ISBN 13 : 9783843368025
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of a speech emotion recognizer is to produce an estimate of the emotional state of the speaker given a speech fragment as an input. In other words we seek a solution for the tricky problem: given a speech fragment how to know what the speaker is feeling, even if she did not intend us to know that. How would it be possible to construct such recognizers Intuitively, when emotion is experienced, there are physiological changes, for example faster heart rate or higher blood pressure. Some of these physiological changes affect speech production organs and they are in a state different from normal, therefore the speech signal comes out of the mouth distorted as compared to emotionally neutral. Different emotions trigger different physiological changes. Thus, we can record speech in different emotional states, measure acoustic parameters of the wave, form feature vectors from these measurements, divide our data set into the training and the test sets. Train the classifier, say, the decision tree, on the train set and see how well it can predict on the test set. 112 pp. Englisch. N° de réf. du vendeur 9783843368025
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Optimization techniques for speech emotion recognition
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3843368023
ISBN 13 : 9783843368025
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sidorova YuliaJulia Sidorova received her master diploma from Moscow State University in 2002 and her PhD from Universitat Pompeu Fabra, Spain in 2009.The aim of a speech emotion recognizer is to produce an estimate of the emotio. N° de réf. du vendeur 5466735
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Optimization techniques for speech emotion recognition
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3843368023
ISBN 13 : 9783843368025
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of a speech emotion recognizer is to produce an estimate of the emotional state of the speaker given a speech fragment as an input. In other words we seek a solution for the tricky problem: given a speech fragment how to know what the speaker is feeling, even if she did not intend us to know that. How would it be possible to construct such recognizers Intuitively, when emotion is experienced, there are physiological changes, for example faster heart rate or higher blood pressure. Some of these physiological changes affect speech production organs and they are in a state different from normal, therefore the speech signal comes out of the mouth distorted as compared to emotionally neutral. Different emotions trigger different physiological changes. Thus, we can record speech in different emotional states, measure acoustic parameters of the wave, form feature vectors from these measurements, divide our data set into the training and the test sets. Train the classifier, say, the decision tree, on the train set and see how well it can predict on the test set. N° de réf. du vendeur 9783843368025
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Optimization techniques for speech emotion recognition
Edité par
LAP LAMBERT Academic Publishing Okt 2010, 2010
ISBN 10 : 3843368023
ISBN 13 : 9783843368025
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The aim of a speech emotion recognizer is to produce an estimate of the emotional state of the speaker given a speech fragment as an input. In other words we seek a solution for the tricky problem: given a speech fragment how to know what the speaker is feeling, even if she did not intend us to know that. How would it be possible to construct such recognizers Intuitively, when emotion is experienced, there are physiological changes, for example faster heart rate or higher blood pressure. Some of these physiological changes affect speech production organs and they are in a state different from normal, therefore the speech signal comes out of the mouth distorted as compared to emotionally neutral. Different emotions trigger different physiological changes. Thus, we can record speech in different emotional states, measure acoustic parameters of the wave, form feature vectors from these measurements, divide our data set into the training and the test sets. Train the classifier, say, the decision tree, on the train set and see how well it can predict on the test set.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. N° de réf. du vendeur 9783843368025
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Optimization techniques for speech emotion recognition
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3843368023
ISBN 13 : 9783843368025
Neuf
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Taschenbuch. Etat : Neu. Optimization techniques for speech emotion recognition | Yulia Sidorova | Taschenbuch | 112 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843368025 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 107244068
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Optimization techniques for speech emotion recognition
Edité par
LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 3843368023
ISBN 13 : 9783843368025
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