Holdings: Speech recognition using articulatory and excitation source features

Speech recognition using articulatory and excitation source features:

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Bibliographic Details
Main Authors:	Rao, K. Sreenivasa (Author), K. E., Manjunath (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer 2017
Series:	SpringerBriefs in electrical and computer engineering
Subjects:	Engineering Computational linguistics Signal, Image and Speech Processing Language Translation and Linguistics Computational Linguistics Ingenieurwissenschaften
Online Access:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 TUM01 UBY01 Volltext
Physical Description:	1 Online-Ressource (xi, 92 Seiten) Illustrationen, Diagramme
ISBN:	9783319492209
ISSN:	2191-8112
DOI:	10.1007/978-3-319-49220-9

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indexdate	2025-02-20T06:53:59Z
institution	BVB
isbn	9783319492209
issn	2191-8112
language	English
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physical	1 Online-Ressource (xi, 92 Seiten) Illustrationen, Diagramme
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publisher	Springer
record_format	marc
series2	SpringerBriefs in electrical and computer engineering
spellingShingle	Rao, K. Sreenivasa K. E., Manjunath Speech recognition using articulatory and excitation source features Engineering Computational linguistics Signal, Image and Speech Processing Language Translation and Linguistics Computational Linguistics Ingenieurwissenschaften
title	Speech recognition using articulatory and excitation source features
title_auth	Speech recognition using articulatory and excitation source features
title_exact_search	Speech recognition using articulatory and excitation source features
title_full	Speech recognition using articulatory and excitation source features K. Sreenivasa Rao, Manjunath K. E.
title_fullStr	Speech recognition using articulatory and excitation source features K. Sreenivasa Rao, Manjunath K. E.
title_full_unstemmed	Speech recognition using articulatory and excitation source features K. Sreenivasa Rao, Manjunath K. E.
title_short	Speech recognition using articulatory and excitation source features
title_sort	speech recognition using articulatory and excitation source features
topic	Engineering Computational linguistics Signal, Image and Speech Processing Language Translation and Linguistics Computational Linguistics Ingenieurwissenschaften
topic_facet	Engineering Computational linguistics Signal, Image and Speech Processing Language Translation and Linguistics Computational Linguistics Ingenieurwissenschaften
url	https://doi.org/10.1007/978-3-319-49220-9
work_keys_str_mv	AT raoksreenivasa speechrecognitionusingarticulatoryandexcitationsourcefeatures AT kemanjunath speechrecognitionusingarticulatoryandexcitationsourcefeatures

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