Isbn: 9783659749995 - discriminative approach for building asr of kashmiri language (5 resultados)

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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Speech recognition is the hottest form of AI research these days, but many under resources languages still haven't traversed yet. This book deals with one of undewr resource language: Kashmiri language. Authors describe the development as well as implementation of CMU Sphinx-3 based speech recognizer for the Kashmiri language. Recognition of the words has been done by using hidden markov models (HMMs). Dictionary data consists of one (akh) to hundred (hat) Kashmiri digits, most frequent Kashmiri words and sentences from the book 'Spoken Kashmiri a Language Course' by Omkar N. Koul. Here, we developed a speaker independent, Kashmiri - Automatic Speech Recognition (K-ASR) system for continuous speech. System is trained using the speech corpora that contains 47 Kashmiri sentences, a total of 2800 words spoken by 12 male and female speakers in noise as well as in noise-free environmental conditions. Maximum Accuracy of 89.78% was achieved, when the K-ASR system was tested in noise free environment. 60 pp. Englisch. …

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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh AmitojDr. Amitoj Singh is Doctorate in computer science and working as Assistant Professor in the department of computational Sciences, MRSPTU, Punjab India. With over 12 years f experience, he has filed 04 Patent, published 32.…

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Speech recognition is the hottest form of AI research these days, but many under resources languages still haven't traversed yet. This book deals with one of undewr resource language: Kashmiri language. Authors describe the development as well as implementation of CMU Sphinx-3 based speech recognizer for the Kashmiri language. Recognition of the words has been done by using hidden markov models (HMMs). Dictionary data consists of one (akh) to hundred (hat) Kashmiri digits, most frequent Kashmiri words and sentences from the book 'Spoken Kashmiri a Language Course' by Omkar N. Koul. Here, we developed a speaker independent, Kashmiri - Automatic Speech Recognition (K-ASR) system for continuous speech. System is trained using the speech corpora that contains 47 Kashmiri sentences, a total of 2800 words spoken by 12 male and female speakers in noise as well as in noise-free environmental conditions. Maximum Accuracy of 89.78% was achieved, when the K-ASR system was tested in noise free environment.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. …

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Envío por EUR 60,54Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponible
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Speech recognition is the hottest form of AI research these days, but many under resources languages still haven't traversed yet. This book deals with one of undewr resource language: Kashmiri language. Authors describe the development as well as implementation of CMU Sphinx-3 based speech recognizer for the Kashmiri language. Recognition of the words has been done by using hidden markov models (HMMs). Dictionary data consists of one (akh) to hundred (hat) Kashmiri digits, most frequent Kashmiri words and sentences from the book 'Spoken Kashmiri a Language Course' by Omkar N. Koul. Here, we developed a speaker independent, Kashmiri - Automatic Speech Recognition (K-ASR) system for continuous speech. System is trained using the speech corpora that contains 47 Kashmiri sentences, a total of 2800 words spoken by 12 male and female speakers in noise as well as in noise-free environmental conditions. Maximum Accuracy of 89.78% was achieved, when the K-ASR system was tested in noise free environment. …