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
Coordonnateurs : Espinosa-Anke Luis, Martín-Vide Carlos, Spasić Irena
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.
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.
Date de parution : 10-2021
Ouvrage de 111 p.
15.5x23.5 cm
Thèmes de Statistical Language and Speech Processing :
Mots-clés :
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