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Text, Speech, and Dialogue

16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013, Proceedings

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Ivan Habernal

    1. University of West Bohemia, Pilsen, Czech Republic

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  2. Václav Matoušek

    1. University of West Bohemia, Pilsen, Czech Republic

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8082)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: TSD 2013.

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Table of contents (74 papers)

  1. Front Matter

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  2. Invited Talks

    1. Corpora of the Russian Language

      • Victor Zakharov
      Pages 1-13

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

      • Hynek Hermansky
      Pages 14-21

    3. Multilingual Media Monitoring and Text Analysis – Challenges for Highly Inflected Languages

      • Ralf Steinberger, Maud Ehrmann, Júlia Pajzs, Mohamed Ebrahim, Josef Steinberger, Marco Turchi
      Pages 22-33

    4. Spoken Dialogs with Children for Science Learning and Literacy

      • Ron Cole, Wayne Ward, Daniel Bolanos, Cindy Buchenroth-Martin, Eric Borts
      Pages 34-34

    5. Statecharts and SCXML for Dialogue Management

      • Torbjörn Lager
      Pages 35-35

  3. Conference Papers

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

      • László Tóth, Tamás Grósz
      Pages 36-43

    2. A Comparison of Two Approaches to Bilingual HMM-Based Speech Synthesis

      • Miran Pobar, Tadej Justin, Janez Žibert, France Mihelič, Ivo Ipšić
      Pages 44-51

    3. A Direct Criterion Minimization Based fMLLR via Gradient Descend

      • Jan Vaněk, Zbyněk Zajíc
      Pages 52-59

    4. A Machine Learning Based Approach for Vocabulary Selection for Speech Transcription

      • Denis Jouvet, David Langlois
      Pages 60-67

    5. A New State-of-The-Art Czech Named Entity Recognizer

      • Jana Straková, Milan Straka, Jan Hajič
      Pages 68-75

    6. Algorithms for Dysfluency Detection in Symbolic Sequences Using Suffix Arrays

      • Juraj Pálfy, Jiří Pospíchal
      Pages 76-83

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

      • Denis Jouvet, Dominique Fohr
      Pages 84-91

    8. Annotating Signs of Syntactic Complexity to Support Sentence Simplification

      • Richard Evans, Constantin Orăsan
      Pages 92-104

    9. Application of LSTM Neural Networks in Language Modelling

      • Daniel Soutner, Luděk Müller
      Pages 105-112

    10. Automatic Laughter Detection in Spontaneous Speech Using GMM–SVM Method

      • Tilda Neuberger, András Beke
      Pages 113-120

    11. Automatic Machine Translation Evaluation with Part-of-Speech Information

      • Aaron L. -F. Han, Derek F. Wong, Lidia S. Chao, Liangye He
      Pages 121-128

    12. Automatic Extraction of Polish Language Errors from Text Edition History

      • Roman Grundkiewicz
      Pages 129-136

    13. Bilingual Voice Conversion by Weighted Frequency Warping Based on Formant Space

      • Young-Sun Yun, Richard E. Ladner
      Pages 137-144

    14. Building a Hybrid: Chatterbot – Dialog System

      • Alexiei Dingli, Darren Scerri
      Pages 145-152
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  1. Text, Speech, and Dialogue

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About this book

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.

Editors and Affiliations

  • University of West Bohemia, Pilsen, Czech Republic

    Ivan Habernal, Václav Matoušek

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