Speech Corpus of Assamese Numerals | for Recognition using a class of Artificial Neural Network (ANN) Architectures

Kandarpa Kumar Sarma (u. a.)

ISBN 10: 3844382135 ISBN 13: 9783844382136
Editore: LAP LAMBERT Academic Publishing, 2011
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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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 106954955

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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.

L'autore: 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.

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Titolo: Speech Corpus of Assamese Numerals | for ...
Casa editrice: LAP LAMBERT Academic Publishing
Data di pubblicazione: 2011
Legatura: Taschenbuch
Condizione: Neu

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ISBN 10: 3844382135 ISBN 13: 9783844382136
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Condizione: 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. Codice articolo 5475744

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Kandarpa Kumar Sarma
ISBN 10: 3844382135 ISBN 13: 9783844382136
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Taschenbuch. Condizione: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 296 pp. Englisch. Codice articolo 9783844382136

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Taschenbuch. Condizione: 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. Codice articolo 9783844382136

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Kandarpa Kumar Sarma
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Taschenbuch. Condizione: 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. Codice articolo 9783844382136

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Sarma, Kandarpa Kumar, Dutta, Krishna, Sarma, Mousumita
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA75838443821356

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