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Statistical Language and Speech Processing [electronic resource] : 9th International Conference, SLSP 2021, Virtual Event, November 22-26, 2021, Proceedings / edited by Luis Espinosa-Anke, Carlos Martín-Vide, Irena Spasić.

Contributor(s): Espinosa-Anke, Luis [editor.] | Martín-Vide, Carlos [editor.] | Spasić, Irena [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 13062Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: IX, 111 p. 31 illus., 22 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030895792.Subject(s): Artificial intelligence | Software engineering | Image processing -- Digital techniques | Computer vision | Data mining | Information storage and retrieval systems | Computer engineering | Computer networks  | Artificial Intelligence | Software Engineering | Computer Imaging, Vision, Pattern Recognition and Graphics | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: This book constitutes the proceedings of the 9th International Conference on Statistical Language and Speech Processing, SLSP 2021, held in Cardiff, UK, in November 2021. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech processing.
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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.

This book constitutes the proceedings of the 9th International Conference on Statistical Language and Speech Processing, SLSP 2021, held in Cardiff, UK, in November 2021. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech processing.

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