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Statistical Language and Speech Processing

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Cover of 'Statistical Language and Speech Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Improving German Image Captions Using Machine Translation and Transfer Learning
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    Chapter 2 Automatic News Article Generation from Legislative Proceedings: A Phenom-Based Approach
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    Chapter 3 Comparison of Czech Transformers on Text Classification Tasks
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    Chapter 4 Constructing Sentiment Lexicon with Game for Annotation Collection
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    Chapter 5 Robustness of Named Entity Recognition: Case of Latvian
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    Chapter 6 Use of Speaker Metadata for Improving Automatic Pronunciation Assessment
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    Chapter 7 Augmenting ASR for User-Generated Videos with Semi-supervised Training and Acoustic Model Adaptation for Spoken Content Retrieval
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    Chapter 8 Various DNN-HMM Architectures Used in Acoustic Modeling with Single-Speaker and Single-Channel
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    Chapter 9 Invariant Representation Learning for Robust Far-Field Speaker Recognition
Attention for Chapter 8: Various DNN-HMM Architectures Used in Acoustic Modeling with Single-Speaker and Single-Channel
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Chapter title
Various DNN-HMM Architectures Used in Acoustic Modeling with Single-Speaker and Single-Channel
Chapter number 8
Book title
Statistical Language and Speech Processing
Published by
Springer, Cham, January 2021
DOI 10.1007/978-3-030-89579-2_8
Book ISBNs
978-3-03-089578-5, 978-3-03-089579-2
Authors

Psutka, Josef V., Vaněk, Jan, Pražák, Aleš

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