Text, Speech, and Dialogue : 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11-13, 2019, Proceedings / edited by Kamil Ekštein.

Format:

Book

Contributor:

Ekštein, Kamil, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11697

Lecture Notes in Artificial Intelligence, 2945-9141 ; 11697

Language:

English

Subjects (All):

Artificial intelligence.

Database management.

Machine theory.

Coding theory.

Information theory.

Artificial Intelligence.

Database Management.

Formal Languages and Automata Theory.

Coding and Information Theory.

Local Subjects:

Artificial Intelligence.

Database Management.

Formal Languages and Automata Theory.

Coding and Information Theory.

Physical Description:

1 online resource (XIX, 414 pages) : 226 illustrations, 71 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the 22nd International Conference on Text, Speech, and Dialogue, TSD 2019, held in Ljubljana, Slovenia, in September 2019. The 33 full papers presented in this volume were carefully reviewed and selected from 73 submissions. They were organized in topical sections named text and speech. The book also contains one invited talk in full paper length. .

Contents:

Speech Processing and Prosody

Using a Database of Multiword Expressions in Dependency Parsing Explicit Discourse Argument Extraction for German

Consonance as a Stylistic Feature for Authorship Attribution of Historical Texts

Bidirectional LSTM Tagger for Latvian Grammatical Error Detection

Testing Features for Assessing Theme Adherence in Student Thesis

Natural language analysis to detect Parkinson's disease

Using Auto-Encoder BiLSTM Neural Network for Czech Grapheme-to-Phoneme Conversion

The FRENK datasets of socially unacceptable discourse in Slovene and English

KAS-term: Extracting Slovene terms via supervised machine learning

Self-Organizing Feature Map for Arabic Word Extraction. -Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER

A Privacy Policy Dataset for GDPR compliance

A semi-automatic structure learning method for language modeling

Coreference in English OntoNotes: Properties and Genre Differences

Cross-Sentence Alignment with Deep Neural Networks

Exploiting Large Unlabeled Data in Automatic Evaluation of Coherence in Czech

Structure of Representation in Word Embeddings

Semantic Structure of Russian Prepositional Constructions

Explicit and implicit discourse relations

On Practical Aspects of Multi-Condition Training based on Augmentation for Reverberation-/Noise-Robust Speech Recognition

Evaluation of Synthetic Speech by GMM-Based Continuous Detection of Emotional States

Deep Representation Learning for Orca Call Type Classification

On Using Stateful LSTM Networks for Key-phrase Detection

Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users

Czech Speech Synthesis with Generative Neural Vocoder

Linguistic Resources Construction: Towards Disfluency Processing in Spontaneous Tunisian Dialect Speech

Comparing Front-end Enhancement Techniques and Multiconditioned Training for Robust Automatic Speech Recognition

Label-Driven T-F Masking For Robust Speech Command Recognition

A Comparison of Hybrid and End-to-End Models for Syllable Recognition

LSTM-based Speech Segmentation for TTS Synthesis

Spoken language identification using Language Bottleneck Features

Question-Answering Dialog System for Large Audiovisual Archives

Crowd-sourced Collection of Task-Oriented Human-Human Dialogues in a Multi-Domain Scenario.

Other Format:

Printed edition:

ISBN:

978-3-030-27947-9

9783030279479

Access Restriction:

Restricted for use by site license.