Description
Statistical Language and Speech Processing, 1st ed. 2021
9th International Conference, SLSP 2021, Virtual Event, November 22-26, 2021, Proceedings
Lecture Notes in Artificial Intelligence Series
Coordinators: Espinosa-Anke Luis, Martín-Vide Carlos, Spasić Irena
Language: English
Subjects for Statistical Language and Speech Processing:
Keywords
artificial intelligence; computational linguistics; computer science; computer systems; computer vision; data mining; databases; education; engineering; Human-Computer Interaction (HCI); information retrieval; linguistics; Natural Language Processing (NLP); natural languages; semantics; signal processing; speech analysis; speech communication; speech processing; speech recognition
Publication date: 10-2021
111 p. · 15.5x23.5 cm · Paperback
111 p. · 15.5x23.5 cm · Paperback
Description
/li>Contents
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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.
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.
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