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Text, Speech, and Dialogue

27th International Conference, TSD 2024, Brno, Czech Republic, September 9–13, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Elmar Nöth

    1. Friedrich-Alexander-Universität, Erlangen, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Aleš Horák

    1. Masaryk University, Brno, Czech Republic

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    You can also search for this editor in PubMed   Google Scholar

  3. Petr Sojka

    1. Masaryk University, Brno, Czech Republic

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15049)

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

Included in the following conference series:

Conference proceedings info: TSD 2024.

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About this book

The two-volume set LNAI 15048 and 15049 constitutes the refereed proceedings of the 27th International Conference on Text, Speech, and Dialogue, TSD 2024, held in Brno, Czech Republic, during September 9–13, 2024.
The 50 revised full papers presented in these deadline proceedings were carefully reviewed and selected from 103 submissions. 

The papers are organized in the following topical sections:

Part I: Text

Part II: Speech, Dialogue

Keywords

Table of contents (27 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Speech

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Retrieval Augmented Spoken Language Generation for Transport Domain

      • Gokul Srinivasagan, Munir Georges
      Pages 3-12

    3. Adapting Audiovisual Speech Synthesis to Estonian

      • Sven Aller, Mark Fishel
      Pages 13-23

    4. Dysphonia Diagnosis Using Self-supervised Speech Models in Mono and Cross-Lingual Settings

      • Dosti Aziz, Dávid Sztahó
      Pages 24-35

    5. Sentences vs Phrases in Neural Speech Synthesis

      • Daniel Tihelka, Jindřich Matoušek, Zdeněk Hanzlíček, Lukáš Vladař
      Pages 36-45

    6. Zero-Shot vs. Few-Shot Multi-speaker TTS Using Pre-trained Czech SpeechT5 Model

      • Jan Lehečka, Zdeněk Hanzlíček, Jindřich Matoušek, Daniel Tihelka
      Pages 46-57

    7. Deep Speaker Embeddings for Speaker Verification of Children

      • Mohammed Hamzah Abed, Dávid Sztahó
      Pages 58-69

    8. Improved Alignment for Score Combination of RNN-T and CTC Decoder for Online Decoding

      • Chin Yuen Kwok, Jia Qi Yip, Eng Siong Chng
      Pages 70-80

    9. Attention to Phonetics: A Visually Informed Explanation of Speech Transformers

      • Erfan A. Shams, Julie Carson-Berndsen
      Pages 81-93

    10. Effects of Training Strategies and the Amount of Speech Data on the Quality of Speech Synthesis

      • Lukáš Vladař, Jindřich Matoušek
      Pages 94-104

    11. Stream-based Active Learning for Speech Emotion Recognition via Hybrid Data Selection and Continuous Learning

      • Santiago A. Moreno-Acevedo, Juan Camilo Vasquez-Correa, Juan M. Martín-Doñas, Aitor Álvarez
      Pages 105-117

    12. Data Alignment and Duration Modelling in VITS

      • Zdeněk Hanzlíček
      Pages 118-129

    13. Multiword Expressions Resources for Italian: Presenting a Manually Annotated Spoken Corpus

      • Ilaria Manfredi
      Pages 130-138

    14. Generating High-Quality F0 Embeddings Using the Vector-Quantized Variational Autoencoder

      • David Porteš, Aleš Horák
      Pages 139-148

    15. Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation

      • Abner Hernandez, Paula Andrea Perez-Toro, Tomas Arias-Vergara, Juan Camilo Vasquez-Correa, Seung Hee Yang, Juan Rafael Orozco-Arroyave et al.
      Pages 149-160

    16. X-Vector-Based Speaker Diarization Using Bi-LSTM and Interim Voting-Driven Post-processing

      • J. B. Mala, S. M. Alex Raj, Rajeev Rajan
      Pages 161-173

    17. A Paradigm for Interpreting Metrics and Measuring Error Severity in Automatic Speech Recognition

      • Thibault Bañeras-Roux, Mickael Rouvier, Jane Wottawa, Richard Dufour
      Pages 174-183

    18. Enhancing Speech Emotion Recognition Using Transfer Learning from Speaker Embeddings

      • Maroš Jakubec, Roman Jarina, Eva Lieskovská, Peter Kasák, Michal Spišiak
      Pages 184-195

  3. Dialogue

    1. Front Matter

      Pages 197-197
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Other volumes

  1. Text, Speech, and Dialogue

  2. Text, Speech, and Dialogue

Editors and Affiliations

  • Friedrich-Alexander-Universität, Erlangen, Germany

    Elmar Nöth

  • Masaryk University, Brno, Czech Republic

    Aleš Horák, Petr Sojka

Bibliographic Information

  • Book Title: Text, Speech, and Dialogue

  • Book Subtitle: 27th International Conference, TSD 2024, Brno, Czech Republic, September 9–13, 2024, Proceedings, Part II

  • Editors: Elmar Nöth, Aleš Horák, Petr Sojka

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-70566-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-70565-6Published: 01 September 2024

  • eBook ISBN: 978-3-031-70566-3Published: 31 August 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 326

  • Number of Illustrations: 10 b/w illustrations, 93 illustrations in colour

  • Topics: Computer Science, general, Artificial Intelligence

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