Text, Speech, and Dialogue : 16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013, Proceedings / edited by Ivan Habernal, Vaclav Matousek.

Format:

Book

Contributor:

Habernal, Ivan, editor.

Matoušek, Václav, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 8082.

Lecture Notes in Artificial Intelligence ; 8082

Language:

English

Subjects (All):

Artificial intelligence.

Application software.

Information storage and retrieval.

Database management.

Pattern perception.

Data mining.

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Pattern Recognition.

Data Mining and Knowledge Discovery.

Local Subjects:

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Pattern Recognition.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XVI, 601 pages) : 140 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 16th International Conference on Text, Speech and Dialogue, TSD 2013, held in Pilsen, Czech Republic, in September 2013. The 65 papers presented together with 5 invited talks were carefully reviewed and selected from 148 submissions. The main topics of this year's conference was corpora, texts and transcription, speech analysis, recognition and synthesis, and their intertwining within NL dialogue systems. The topics also included speech recognition, corpora and language resources, speech and spoken language generation, tagging, classification and parsing of text and speech, semantic processing of text and speech, integrating applications of text and speech processing, as well as automatic dialogue systems, and multimodal techniques and modelling.

Contents:

Invited Talks

Corpora of the Russian Language

Long, Deep and Wide Artificial Neural Nets for Dealing with Unexpected Noise in Machine Recognition of Speech

Multilingual Media Monitoring and Text Analysis - Challenges for Highly Inflected Languages

Spoken Dialogs with Children for Science Learning and Literacy

Statecharts and SCXML for Dialogue Management

Conference Papers

A Comparison of Deep Neural Network Training Methods for Large Vocabulary Speech Recognition

A Comparison of Two Approaches to Bilingual HMM-based Speech Synthesis

A Direct Criterion Minimization Based fMLLR via Gradient Descend

A Machine Learning Based Approach for Vocabulary Selection for Speech Transcription

A New State-Of-The-Art Czech Named Entity Recognizer

Algorithms for Dysfluency Detection in Symbolic Sequences Using Suffix Arrays

Analysis and Combination of Forward and Backward Based Decoders for Improved Speech Transcription

Annotating Signs of Syntactic Complexity to Support Sentence Simplification

Application of LSTM Neural Networks in Language Modelling

Automatic Laughter Detection in Spontaneous Speech Using GMM-SVM Method

Automatic Machine Translation Evaluation with Part-of-Speech Information

Automatic Extraction of Polish Language Errors from Text Edition History

Bilingual Voice Conversion by Weighted Frequency Warping Based on Formant Space

Building a Hybrid: Chatterbot - Dialog System

CRF-based Czech Named Entity Recognizer and Consolidation of Czech NER Research

Comparison and Analysis of Several Phonetic Decoding Approaches

Concatenation Artifact Detection Trained from Listeners Evaluations

Configuring TTS Evaluation Method Based on Unit Cost Outlier Detection

Development and Evaluation of Spoken Dialog Systems with One or Two Agents Through Two Domains

Distant Supervision Learning of DBPedia Relations

Downdating Lexicon and Language Model for Automatic Transcription of Czech Historical Spoken Documents

Dynamic Threshold Selection Method for Multi-label Newspaper Topic Identification

Efficiency of Multi-tap Text Entry Method on Interactive Television

English Nominal Compound Detection with Wikipedia-Based Methods

Evaluating Voice Quality and Speech Synthesis Using Crowdsourcing

Experiment with Evaluation of Quality of the Synthetic Speech by the GMM Classifier

Experiments on Reducing Footprint of Unit Selection TTS System

Expressive Speech Synthesis for Urgent Warning Messages Generation in Romani and Slovak

Extracting Relations Between Arabic Named Entities

Foot Detection in Czech Using Pitch Information and HMM

Improved Hungarian Morphological Disambiguation with Tagger Combination

Improving Dependency Parsing by Filtering Linguistic Noise

Improving Speech Recognition by Detecting Foreign Inclusions and Generating Pronunciations

Intensifying verb prefix patterns in Czech and Russian

K-component Adaptive Recurrent Neural Network Language Models

LIUM ASR System for ETAPE French Evaluation Campaign: Experiments on System Combination Using Open-source Recognizers

Lexical Stress-based Morphological Decomposition and Its Application for Ukrainian Speech Recognition

Motion Event in Croatian, English, German and Italian Concerning Path Prefixes and Prepositions

Multi-label Document Classification in Czech

On Behaviour of PLDA Models in the Task of Speaker Recognition

On the Quantitative and Qualitative Speech Changes of the Czech Radio Broadcasts News within Years 1969-2005

On the Use of Phoneme Lattices in Spoken Language Understanding

Online Speaker Adaptation of an Acoustic Model Using Face Recognition

Ontology of Rhetorical Figures for Serbian

Phoneme Set and Pronouncing Dictionary Creation for Large Vocabulary Continuous Speech Recognition of Vietnamese

Phonetic Spoken Term Detection in Large Audio Archive Using the WFST Framework

Ranking Machine Translation Systems via Post-Editing

Recursive Part-of-Speech Tagging Using Word Structures

Resolving Ambiguities in Sentence Boundary Detection in Russian Spontaneous Speech

Revealing Prevailing Semantic Contents of Clusters Generated from Untagged Freely Written Text Documents in Natural Languages

Robust Methodology for TTS Enhancement Evaluation

Romanian Syllabication Using Machine Learning

SVM-Based Detection of Misannotated Words in Read Speech Corpora

Scratching the Surface of Possible Translations

Selecting and Weighting N-Grams to Identify 1100 Languages

Semantic Spaces for Sentiment Analysis

Semi-automatic Verb Valence Frame Assignment Through VerbNet Classification

Speaker-specific Pronunciation for Speech Synthesis

Structuring a Multimedia Tri-dialectal Dictionary

Stylistic Changes for Temporal Text Classification

SummEC: A Summarization Engine for Czech

Text-to-Speech Alignment for Imperfect Transcriptions

The CNG Corpus of European Portuguese Children's Speech

The Joint Optimization of Spectro-Temporal Features and Neural Net Classifiers

Three Syntactic Formalisms for Data-Driven Dependency Parsing of Croatian

Topic Models for Comparative Summarization

Using Low-Cost Annotation to Train a Reliable Czech Shallow Parser

Verb Subcategorisation Acquisition for Estonian Based on Morphological Information

Whispered Speech Database: Design, Processing and Application.

Other Format:

Printed edition:

ISBN:

978-3-642-40585-3

9783642405853

Access Restriction:

Restricted for use by site license.