Articles liés à Text-Independent Extractive Speech Summarization for...
Synopsis
Automatic speech summarization presents significant challenges when spoken-language data are limited and conventional text-based resources are unavailable or insufficient. Text-Independent Extractive Speech Summarization for Low-Resource Languages provides a focused technical examination of speech summarization, extractive approaches, low-resource language processing, speech analysis, natural language processing, and machine learning. The book brings together concepts from speech technology, computational linguistics, artificial intelligence, information retrieval, and language-resource development.
The book introduces the foundations of automatic speech summarization and examines the challenges involved in converting lengthy spoken content into concise representations of its most informative material. Spoken communication differs from written text because speech can contain repetitions, disfluencies, pauses, incomplete expressions, variations in speaking style, and other characteristics that influence computational analysis. These properties make speech summarization a distinct problem requiring appropriate processing and representation methods.
A central focus is placed on text-independent extractive summarization. Extractive methods identify and select informative portions of an original speech signal or associated speech segments rather than generating completely new textual content. A text-independent approach places greater emphasis on information that can be derived directly from speech characteristics, reducing dependence on extensive language-specific textual resources. This perspective is particularly relevant when working with languages for which large annotated text corpora, linguistic resources, or sophisticated language-processing tools may be limited.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour Text-Independent Extractive Speech Summarization for...
Image d'archives
Text-Independent Extractive Speech Summarization for Low-Resource Languages
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9798868944451
Acheter neuf
EUR 33,07
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Text-Independent Extractive Speech Summarization for Low-Resource Languages
impression à la demandeVendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798868944451
Acheter neuf
EUR 34,47
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Text-Independent Extractive Speech Summarization for Low-Resource Languages
impression à la demandeVendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798868944451
Acheter neuf
EUR 32,17
Expédition à EUR 4,92
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Text-Independent Extractive Speech Summarization for Low-Resource Languages
impression à la demandeVendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 192 pp. Englisch. N° de réf. du vendeur 9798868944451
Acheter neuf
EUR 36,70
Expédition à EUR 23
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image d'archives
Text-Independent Extractive Speech Summarization for Low-Resource Languages (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Automatic speech summarization presents significant challenges when spoken-language data are limited and conventional text-based resources are unavailable or insufficient. Text-Independent Extractive Speech Summarization for Low-Resource Languages provides a focused technical examination of speech summarization, extractive approaches, low-resource language processing, speech analysis, natural language processing, and machine learning. The book brings together concepts from speech technology, computational linguistics, artificial intelligence, information retrieval, and language-resource development.The book introduces the foundations of automatic speech summarization and examines the challenges involved in converting lengthy spoken content into concise representations of its most informative material. Spoken communication differs from written text because speech can contain repetitions, disfluencies, pauses, incomplete expressions, variations in speaking style, and other characteristics that influence computational analysis. These properties make speech summarization a distinct problem requiring appropriate processing and representation methods.A central focus is placed on text-independent extractive summarization. Extractive methods identify and select informative portions of an original speech signal or associated speech segments rather than generating completely new textual content. A text-independent approach places greater emphasis on information that can be derived directly from speech characteristics, reducing dependence on extensive language-specific textual resources. This perspective is particularly relevant when working with languages for which large annotated text corpora, linguistic resources, or sophisticated language-processing tools may be limited. Text-Independent Extractive Speech Summarization for Low-Resource Languages examines computational approaches for selecting informative segments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798868944451
Acheter neuf
EUR 36,56
Expédition à EUR 43,79
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Text-Independent Extractive Speech Summarization for Low-Resource Languages (Paperback)
impression à la demandeVendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Automatic speech summarization presents significant challenges when spoken-language data are limited and conventional text-based resources are unavailable or insufficient. Text-Independent Extractive Speech Summarization for Low-Resource Languages provides a focused technical examination of speech summarization, extractive approaches, low-resource language processing, speech analysis, natural language processing, and machine learning. The book brings together concepts from speech technology, computational linguistics, artificial intelligence, information retrieval, and language-resource development.The book introduces the foundations of automatic speech summarization and examines the challenges involved in converting lengthy spoken content into concise representations of its most informative material. Spoken communication differs from written text because speech can contain repetitions, disfluencies, pauses, incomplete expressions, variations in speaking style, and other characteristics that influence computational analysis. These properties make speech summarization a distinct problem requiring appropriate processing and representation methods.A central focus is placed on text-independent extractive summarization. Extractive methods identify and select informative portions of an original speech signal or associated speech segments rather than generating completely new textual content. A text-independent approach places greater emphasis on information that can be derived directly from speech characteristics, reducing dependence on extensive language-specific textual resources. This perspective is particularly relevant when working with languages for which large annotated text corpora, linguistic resources, or sophisticated language-processing tools may be limited. Text-Independent Extractive Speech Summarization for Low-Resource Languages examines computational approaches for selecting informative segments. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798868944451
Acheter neuf
EUR 48,85
Expédition à EUR 33
Expédition depuis Australie vers Etats-Unis
Expédition depuis Australie vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Text-Independent Extractive Speech Summarization for Low-Resource Languages
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Automatic speech summarization presents significant challenges when spoken-language data are limited and conventional text-based resources are unavailable or insufficient. Text-Independent Extractive Speech Summarization for Low-Resource Languages provides a focused technical examination of speech summarization, extractive approaches, low-resource language processing, speech analysis, natural language processing, and machine learning. The book brings together concepts from speech technology, computational linguistics, artificial intelligence, information retrieval, and language-resource development.The book introduces the foundations of automatic speech summarization and examines the challenges involved in converting lengthy spoken content into concise representations of its most informative material. Spoken communication differs from written text because speech can contain repetitions, disfluencies, pauses, incomplete expressions, variations in speaking style, and other characteristics that influence computational analysis. These properties make speech summarization a distinct problem requiring appropriate processing and representation methods.A central focus is placed on text-independent extractive summarization. Extractive methods identify and select informative portions of an original speech signal or associated speech segments rather than generating completely new textual content. A text-independent approach places greater emphasis on information that can be derived directly from speech characteristics, reducing dependence on extensive language-specific textual resources. This perspective is particularly relevant when working with languages for which large annotated text corpora, linguistic resources, or sophisticated language-processing tools may be limited. N° de réf. du vendeur 9798868944451
Acheter neuf
EUR 54,66
Expédition à EUR 35
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Text-Independent Extractive Speech Summarization for Low-Resource Languages
impression à la demandeVendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Text-Independent Extractive Speech Summarization for Low-Resource Languages | Andrew | Taschenbuch | Englisch | 2026 | Pippet Sky | EAN 9798868944451 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 136345098
Acheter neuf
EUR 37,20
Expédition à EUR 70
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 5 disponible(s)