Speech and Computer: 22nd International Conference, SPECOM 2020, St. Petersburg, Russia, October 7–9, 2020, Proceedings | SpringerLink
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Speech and Computer

22nd International Conference, SPECOM 2020, St. Petersburg, Russia, October 7–9, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Alexey Karpov

    1. St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St. Petersburg, Russia

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    You can also search for this editor in PubMed   Google Scholar

  2. Rodmonga Potapova

    1. Institute for Applied and Mathematical Linguistics, Moscow State Linguistic University, Moscow, Russia

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12335)

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

Included in the following conference series:

Conference proceedings info: SPECOM 2020.

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About this book

This book constitutes the proceedings of the 22nd International Conference on Speech and Computer, SPECOM 2020, held in St. Petersburg, Russia, in October 2020.
The 65 papers presented were carefully reviewed and selected from 160 submissions. The papers present current research in the area of computer speech processing including speech science, speech technology, natural language processing, human-computer interaction, language identification, multimedia processing, human-machine interaction, deep learning for audio processing, computational paralinguistics, affective computing, speech and language resources, speech translation systems, text mining and sentiment analysis, voice assistants, etc.

Due to the Corona pandemic SPECOM 2020 was held as a virtual event.

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Keywords

Table of contents (65 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Lightweight CNN for Robust Voice Activity Detection

    • Tanvirul Alam, Akib Khan
    Pages 1-12

  3. Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset

    • Pedro Alonso, Rajkumar Saini, György Kovács
    Pages 13-21

  4. MP3 Compression to Diminish Adversarial Noise in End-to-End Speech Recognition

    • Iustina Andronic, Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Gerhard Rigoll, Bernhard U. Seeber
    Pages 22-34

  5. Exploration of End-to-End ASR for OpenSTT – Russian Open Speech-to-Text Dataset

    • Andrei Andrusenko, Aleksandr Laptev, Ivan Medennikov
    Pages 35-44

  6. Directional Clustering with Polyharmonic Phase Estimation for Enhanced Speaker Localization

    • Sergei Astapov, Dmitriy Popov, Vladimir Kabarov
    Pages 45-56

  7. Speech Emotion Recognition Using Spectrogram Patterns as Features

    • Umut Avci
    Pages 57-67

  8. Pragmatic Markers in Dialogue and Monologue: Difficulties of Identification and Typical Formation Models

    • Natalia Bogdanova-Beglarian, Olga Blinova, Tatiana Sherstinova, Daria Gorbunova, Kristina Zaides, Tatiana Popova
    Pages 68-78

  9. Data Augmentation and Loss Normalization for Deep Noise Suppression

    • Sebastian Braun, Ivan Tashev
    Pages 79-86

  10. Automatic Information Extraction from Scanned Documents

    • Lukáš Bureš, Petr Neduchal, Luděk Müller
    Pages 87-96

  11. Dealing with Newly Emerging OOVs in Broadcast Programs by Daily Updates of the Lexicon and Language Model

    • Petr Cerva, Veronika Volna, Lenka Weingartova
    Pages 97-107

  12. A Rumor Detection in Russian Tweets

    • Aleksandr Chernyaev, Alexey Spryiskov, Alexander Ivashko, Yuliya Bidulya
    Pages 108-118

  13. Automatic Prediction of Word Form Reduction in Russian Spontaneous Speech

    • Maria Dayter, Elena Riekhakaynen
    Pages 119-127

  14. Formant Frequency Analysis of MSA Vowels in Six Algerian Regions

    • Ghania Droua-Hamdani
    Pages 128-135

  15. Emotion Recognition and Sentiment Analysis of Extemporaneous Speech Transcriptions in Russian

    • Anastasia Dvoynikova, Oxana Verkholyak, Alexey Karpov
    Pages 136-144

  16. Predicting a Cold from Speech Using Fisher Vectors; SVM and XGBoost as Classifiers

    • José Vicente Egas-López, Gábor Gosztolya
    Pages 145-155

  17. Toxicity in Texts and Images on the Internet

    • Denis Gordeev, Vsevolod Potapov
    Pages 156-165

  18. An Automated Pipeline for Robust Image Processing and Optical Character Recognition of Historical Documents

    • Ivan Gruber, Pavel Ircing, Petr Neduchal, Marek Hrúz, Miroslav Hlaváč, Zbyněk Zajíc et al.
    Pages 166-175

  19. Lipreading with LipsID

    • Miroslav Hlaváč, Ivan Gruber, Miloš Železný, Alexey Karpov
    Pages 176-183

  20. Automated Destructive Behavior State Detection on the 1D CNN-Based Voice Analysis

    • Anastasia Iskhakova, Daniyar Wolf, Roman Meshcheryakov
    Pages 184-193
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Other volumes

  1. Speech and Computer

Editors and Affiliations

  • St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St. Petersburg, Russia

    Alexey Karpov

  • Institute for Applied and Mathematical Linguistics, Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

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