Assamese is an important language with its own uniqueness concentrated primarily among a population of around 30 million in the North Eastern part of India. The work focuses on designing an optimal feature extraction block and a few ANN architectures so that the performance of the Speech Recognition System can be improved. The key part of the work is related to certain signal processing operations including adaptive filtering for designing of a set of speech corpus of Assamese numerals recorded with gender and mood variation. The work carried out with multiple ANN based architectures provides important insights to the development of language – specific speech recognition tools. Experiments work carried out in this connection is reported here in this work so as to formulate a rudimentary platform for speech corpus generation using adaptive LMS filters and LPC cepstrum, as a part of an ANN based Speech Recognition System exclusively designed to recognize numerals of Assamese.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Assamese is an important language with its own uniqueness concentrated primarily among a population of around 30 million in the North Eastern part of India. The work focuses on designing an optimal feature extraction block and a few ANN architectures so that the performance of the Speech Recognition System can be improved. The key part of the work is related to certain signal processing operations including adaptive filtering for designing of a set of speech corpus of Assamese numerals recorded with gender and mood variation. The work carried out with multiple ANN based architectures provides important insights to the development of language – specific speech recognition tools. Experiments work carried out in this connection is reported here in this work so as to formulate a rudimentary platform for speech corpus generation using adaptive LMS filters and LPC cepstrum, as a part of an ANN based Speech Recognition System exclusively designed to recognize numerals of Assamese.
Kandarpa Kumar Sarma obtained MTech in Signal Processing from IIT Guwahati, India, (2005) where he later pursued research. He has authored four books, two book chapters and over 60 research publications in reputed journals and conference proceedings. His research interests are in the field of Softcomputing, Mobile Communication and Antenna Design.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Assamese is an important language with its own uniqueness concentrated primarily among a population of around 30 million in the North Eastern part of India. The work focuses on designing an optimal feature extraction block and a few ANN architectures so that the performance of the Speech Recognition System can be improved. The key part of the work is related to certain signal processing operations including adaptive filtering for designing of a set of speech corpus of Assamese numerals recorded with gender and mood variation. The work carried out with multiple ANN based architectures provides important insights to the development of language specific speech recognition tools. Experiments work carried out in this connection is reported here in this work so as to formulate a rudimentary platform for speech corpus generation using adaptive LMS filters and LPC cepstrum, as a part of an ANN based Speech Recognition System exclusively designed to recognize numerals of Assamese. 296 pp. Englisch. N° de réf. du vendeur 9783844382136
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sarma Kandarpa KumarKandarpa Kumar Sarma obtained MTech in Signal Processing from IIT Guwahati, India, (2005) where he later pursued research. He has authored four books, two book chapters and over 60 research publications in reputed. N° de réf. du vendeur 5475744
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Assamese is an important language with its own uniqueness concentrated primarily among a population of around 30 million in the North Eastern part of India. The work focuses on designing an optimal feature extraction block and a few ANN architectures so that the performance of the Speech Recognition System can be improved. The key part of the work is related to certain signal processing operations including adaptive filtering for designing of a set of speech corpus of Assamese numerals recorded with gender and mood variation. The work carried out with multiple ANN based architectures provides important insights to the development of language specific speech recognition tools. Experiments work carried out in this connection is reported here in this work so as to formulate a rudimentary platform for speech corpus generation using adaptive LMS filters and LPC cepstrum, as a part of an ANN based Speech Recognition System exclusively designed to recognize numerals of Assamese. N° de réf. du vendeur 9783844382136
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Speech Corpus of Assamese Numerals | for Recognition using a class of Artificial Neural Network (ANN) Architectures | Kandarpa Kumar Sarma (u. a.) | Taschenbuch | 296 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844382136 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106954955
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Assamese is an important language with its own uniqueness concentrated primarily among a population of around 30 million in the North Eastern part of India. The work focuses on designing an optimal feature extraction block and a few ANN architectures so that the performance of the Speech Recognition System can be improved. The key part of the work is related to certain signal processing operations including adaptive filtering for designing of a set of speech corpus of Assamese numerals recorded with gender and mood variation. The work carried out with multiple ANN based architectures provides important insights to the development of language - specific speech recognition tools. Experiments work carried out in this connection is reported here in this work so as to formulate a rudimentary platform for speech corpus generation using adaptive LMS filters and LPC cepstrum, as a part of an ANN based Speech Recognition System exclusively designed to recognize numerals of Assamese.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 296 pp. Englisch. N° de réf. du vendeur 9783844382136
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