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Speech and Computer

25th International Conference, SPECOM 2023, Dharwad, India, November 29 – December 2, 2023, Proceedings, Part I

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Alexey Karpov

    1. St. Petersburg Federal Research Center of the Russian Academy of Sciences, St. Petersburg, Russia

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  2. K. Samudravijaya

    1. Koneru Lakshmaiah Education Foundation, Vaddeswaram, India

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  3. K. T. Deepak

    1. Indian Institute of Information Technology Dharwad, Dharwad, India

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  4. Rajesh M. Hegde

    1. Indian Institute of Technology Dharwad, Dharwad, India

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  5. Shyam S. Agrawal

    1. KIIT Group of Colleges, Gurugram, India

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  6. S. R. Mahadeva Prasanna

    1. Indian Institute of Technology Dharwad, Dharwad, India

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14338)

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

Included in the following conference series:

Conference proceedings info: SPECOM 2023.

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About this book

The two-volume proceedings set LNAI 14338 and 14339 constitutes the refereed proceedings of the 25th International Conference on Speech and Computer, SPECOM 2023, held in Dharwad, India, during November 29–December 2, 2023.


The 94 papers included in these proceedings were carefully reviewed and selected from 174 submissions. They focus on all aspects of speech science and technology: ​automatic speech recognition; computational paralinguistics; digital signal processing; speech prosody; natural language processing; child speech processing; speech processing for medicine; industrial speech and language technology; speech technology for under-resourced languages; speech analysis and synthesis; speaker and language identification, verification and diarization.

Keywords

Table of contents (50 papers)

  1. Front Matter

    Pages i-xxv
    Download chapter PDF

  2. Automatic Speech Recognition

    1. Front Matter

      Pages 1-1
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    2. Extreme Learning Layer: A Boost for Spoken Digit Recognition with Spiking Neural Networks

      • Ivan Peralta, Nanci Odetti, Hugo L. Rufiner
      Pages 3-17

    3. EMO-AVSR: Two-Level Approach for Audio-Visual Emotional Speech Recognition

      • Denis Ivanko, Elena Ryumina, Dmitry Ryumin, Alexandr Axyonov, Alexey Kashevnik, Alexey Karpov
      Pages 18-31

    4. Significance of Audio Quality in Speech-to-Text Translation Systems

      • Tonmoy Rajkhowa, Amartya Roy Chowdhury, S. R. Mahadeva Prasanna
      Pages 32-42

    5. Everyday Conversations: A Comparative Study of Expert Transcriptions and ASR Outputs at a Lexical Level

      • Tatiana Sherstinova, Rostislav Kolobov, Nikolay Mikhaylovskiy
      Pages 43-56

    6. Improving Automatic Speech Recognition with Dialect-Specific Language Models

      • Raj Gothi, Preeti Rao
      Pages 57-67

    7. Emotional Speech Recognition of Holocaust Survivors with Deep Neural Network Models for Russian Language

      • Liudmila Bukreeva, Daria Guseva, Mikhail Dolgushin, Vera Evdokimova, Vasilisa Obotnina
      Pages 68-76

  3. Computational Paralinguistics

    1. Front Matter

      Pages 77-77
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    2. Aggregation Strategies of Wav2vec 2.0 Embeddings for Computational Paralinguistic Tasks

      • Mercedes Vetráb, Gábor Gosztolya
      Pages 79-93

    3. Rhythm Formant Analysis for Automatic Depression Classification

      • Kumar Kaustubh, Parismita Gogoi, S.R.M Prasanna
      Pages 94-106

    4. Determining Alcohol Intoxication Based on Speech and Neural Networks

      • Pavel Laptev, Sergey Litovkin, Evgeny Kostyuchenko
      Pages 107-115

    5. Linear Frequency Residual Cepstral Coefficients for Speech Emotion Recognition

      • Baveet Singh Hora, S. Uthiraa, Hemant A. Patil
      Pages 116-129

    6. Enhancing Stutter Detection in Speech Using Zero Time Windowing Cepstral Coefficients and Phase Information

      • Narasinga Vamshi Raghu Simha, Mirishkar Sai Ganesh, Vuppala Anil Kumar
      Pages 130-141

    7. Source and System-Based Modulation Approach for Fake Speech Detection

      • Rishith Sadashiv T. N., Devesh Kumar, Ayush Agarwal, Moakala Tzudir, Jagabandhu Mishra, S. R. Mahadeva Prasanna
      Pages 142-155

  4. Digital Signal Processing

    1. Front Matter

      Pages 157-157
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    2. Investigation of Different Calibration Methods for Deep Speaker Embedding Based Verification Systems

      • Sergey Novoselov, Galina Lavrentyeva, Vladimir Volokhov, Marina Volkova, Nikita Khmelev, Artem Akulov
      Pages 159-168

    3. Learning to Predict Speech Intelligibility from Speech Distortions

      • Punnoose Kuriakose
      Pages 169-176

    4. Sparse Representation Frameworks for Acoustic Scene Classification

      • Akansha Tyagi, Padmanabhan Rajan
      Pages 177-188

    5. Driver Speech Detection in Real Driving Scenario

      • Mrinmoy Bhattacharjee, Shikha Baghel, S. R. Mahadeva Prasanna
      Pages 189-199
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Other volumes

  1. Speech and Computer

  2. Speech and Computer

Editors and Affiliations

  • St. Petersburg Federal Research Center of the Russian Academy of Sciences, St. Petersburg, Russia

    Alexey Karpov

  • Koneru Lakshmaiah Education Foundation, Vaddeswaram, India

    K. Samudravijaya

  • Indian Institute of Information Technology Dharwad, Dharwad, India

    K. T. Deepak

  • Indian Institute of Technology Dharwad, Dharwad, India

    Rajesh M. Hegde, S. R. Mahadeva Prasanna

  • KIIT Group of Colleges, Gurugram, India

    Shyam S. Agrawal

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