This book deals with the study of different types of cepstral feature extraction techniques, compare their performances and select best out of them. The best feature extraction technique is applied in the development of an acoustic-phonetic feature based Language Identification (LID) system using Phonetic Engine (P.E). A PE is a system used to capture the acoustic-phonetic information of the speech signal and to transform that into symbolic form. Automatic language identification is an important issue in the global community. The collaborations and trading between different countries are more and more popular. People who speak different languages must be able to communicate seamlessly with each other. Thus, it is necessary to know the language with which we are dealing, a LID system can help to lower the communication barriers among people from different regions.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This book deals with the study of different types of cepstral feature extraction techniques, compare their performances and select best out of them. The best feature extraction technique is applied in the development of an acoustic-phonetic feature based Language Identification (LID) system using Phonetic Engine (P.E). A PE is a system used to capture the acoustic-phonetic information of the speech signal and to transform that into symbolic form. Automatic language identification is an important issue in the global community. The collaborations and trading between different countries are more and more popular. People who speak different languages must be able to communicate seamlessly with each other. Thus, it is necessary to know the language with which we are dealing, a LID system can help to lower the communication barriers among people from different regions.
Salam Nandakishor received his B.E degree in Electronics and Communication from North Maharashtra University and completed M.Tech degree from North Eastern Hill University. He is currently working as Assistant Laboratory Engineer in Speech and Image Processing Lab., Electronics and Communication Engineering department, NEHU Shillong, India.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with the study of different types of cepstral feature extraction techniques, compare their performances and select best out of them. The best feature extraction technique is applied in the development of an acoustic-phonetic feature based Language Identification (LID) system using Phonetic Engine (P.E). A PE is a system used to capture the acoustic-phonetic information of the speech signal and to transform that into symbolic form. Automatic language identification is an important issue in the global community. The collaborations and trading between different countries are more and more popular. People who speak different languages must be able to communicate seamlessly with each other. Thus, it is necessary to know the language with which we are dealing, a LID system can help to lower the communication barriers among people from different regions. 68 pp. Englisch. N° de réf. du vendeur 9783659827587
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nandakishor SalamSalam Nandakishor received his B.E degree in Electronics and Communication from North Maharashtra University and completed M.Tech degree from North Eastern Hill University. He is currently working as Assistant Labora. N° de réf. du vendeur 158962888
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals with the study of different types of cepstral feature extraction techniques, compare their performances and select best out of them. The best feature extraction technique is applied in the development of an acoustic-phonetic feature based Language Identification (LID) system using Phonetic Engine (P.E). A PE is a system used to capture the acoustic-phonetic information of the speech signal and to transform that into symbolic form. Automatic language identification is an important issue in the global community. The collaborations and trading between different countries are more and more popular. People who speak different languages must be able to communicate seamlessly with each other. Thus, it is necessary to know the language with which we are dealing, a LID system can help to lower the communication barriers among people from different regions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. N° de réf. du vendeur 9783659827587
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with the study of different types of cepstral feature extraction techniques, compare their performances and select best out of them. The best feature extraction technique is applied in the development of an acoustic-phonetic feature based Language Identification (LID) system using Phonetic Engine (P.E). A PE is a system used to capture the acoustic-phonetic information of the speech signal and to transform that into symbolic form. Automatic language identification is an important issue in the global community. The collaborations and trading between different countries are more and more popular. People who speak different languages must be able to communicate seamlessly with each other. Thus, it is necessary to know the language with which we are dealing, a LID system can help to lower the communication barriers among people from different regions. N° de réf. du vendeur 9783659827587
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Taschenbuch. Etat : Neu. Study and Development of an Acoustic-Phonetic Feature based LID system | Salam Nandakishor (u. a.) | Taschenbuch | 68 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659827587 | 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 103976123
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