Statistical Language and Speech Processing 9th International Conference, SLSP 2021, Virtual Event, November 22-26, 2021, Proceedings
Título:
Statistical Language and Speech Processing 9th International Conference, SLSP 2021, Virtual Event, November 22-26, 2021, Proceedings
ISBN:
9783030895792
Edición:
1st ed. 2021.
PRODUCTION_INFO:
Cham : Springer International Publishing : Imprint: Springer, 2021.
Descripción física:
IX, 111 p. 31 illus., 22 illus. in color. online resource.
Serie:
Lecture Notes in Artificial Intelligence, 13062
Contenido:
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.
Síntesis:
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.
Término de la materia:
Autor corporativo añadido:
Acceso electrónico:
Full Text Available From Springer Nature Computer Science 2021 Packages
Idioma:
Inglés