Statistical Language and Speech Processing: Lecture Notes in Computer Science, cartea 13062
Editat de Luis Espinosa-Anke, Carlos Martín-Vide, Irena Spasi¿en Limba Engleză Paperback – 17 oct 2021
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 316.83 lei 6-8 săpt. | |
| Springer – 26 sep 2020 | 316.83 lei 6-8 săpt. | |
| Springer – 17 oct 2021 | 340.59 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030895785
ISBN-10: 3030895785
Pagini: 124
Ilustrații: IX, 111 p. 31 illus., 22 illus. in color.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.2 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3030895785
Pagini: 124
Ilustrații: IX, 111 p. 31 illus., 22 illus. in color.
Dimensiuni: 155 x 235 x 8 mm
Greutate: 0.2 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Language.- Improving German Image Captions using Machine Translation and
Transfer Learning.- Automatic News Article Generation from Legislative Proceedings: A Phenom-based Approach.- Comparison of Czech Transformers on Text Classification Tasks.- Constructing Sentiment Lexicon with Game for Annotation Collection.- Robustness of Named Entity Recognition: Case of Latvian.- Speech.- Use of Speaker Metadata for Improving Automatic Pronunciation Assessment.- Augmenting ASR for user-generated videos with semi-supervised training and acoustic model adaptation for Spoken Content Retrieval.- Various DNN-HMM Architectures Used in Acoustic Modeling with
Single-Speaker and Single-Channel Invariant Representation Learning for Robust Far-Field Speaker Recognition.
Transfer Learning.- Automatic News Article Generation from Legislative Proceedings: A Phenom-based Approach.- Comparison of Czech Transformers on Text Classification Tasks.- Constructing Sentiment Lexicon with Game for Annotation Collection.- Robustness of Named Entity Recognition: Case of Latvian.- Speech.- Use of Speaker Metadata for Improving Automatic Pronunciation Assessment.- Augmenting ASR for user-generated videos with semi-supervised training and acoustic model adaptation for Spoken Content Retrieval.- Various DNN-HMM Architectures Used in Acoustic Modeling with
Single-Speaker and Single-Channel Invariant Representation Learning for Robust Far-Field Speaker Recognition.