Dutoit / Martín-Vide / Pironkov Statistical Language and Speech Processing

6th International Conference, SLSP 2018, Mons, Belgium, October 15–16, 2018, Proceedings
Erscheinungsjahr 2018
ISBN: 978-3-030-00810-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 191 Seiten, eBook

Reihe: Lecture Notes in Artificial Intelligence

This book constitutes the proceedings of the 6th International Conference on Statistical Language and Speech Processing, SLSP 2018, held in Mons, Belgium, in October 2018. The 15 full papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: speech synthesis and spoken language generation; speech recognition and post-processing; natural language processing and understanding; and text processing and analysis.

Zielgruppe

Research

Autoren/Hrsg.

Dutoit, Thierry

Martín-Vide, Carlos

Pironkov, Gueorgui

Inhaltsverzeichnis

Invited Paper.- Analysing Speech for Clinical Applications.- Speech Synthesis and Spoken Language Generation.- DNN-based Speech Synthesis for Arabic: Modelling and Evaluation.- Phone-Level Embeddings for Unit Selection Speech Synthesis.- Disuency Insertion for Spontaneous TTS: Formalization and Proof of Concept.- Speech Recognition and Post-Processing.- Forced Alignment of the Phonologie du Français Contemporain Corpus.- A Syllable Structure Approach to Spoken Language Recognition.- Investigating a Hybrid Learning Approach for Robust Automatic Speech Recognition.- A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures.- Restoring Punctuation and Capitalization Using Transformer Models.- Natural Language Processing and Understanding.- Arabic Name Entity Recognition Using Deep Learning.- Movie Genre Detection using Topological Data Analysis.- Low-Resource Text Classification using Domain-Adversarial Learning.- Handling Ellipsis in a Spoken Medical Phraselator.- Text Processing and Analysis.- Knowledge Transfer for Active Learning in Textual Anonymisation.