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  • Conference proceedings
  • © 2023

Proceedings of the 9th Conference on Sound and Music Technology

Revised Selected Papers from CMST

Editors:

  1. Xi Shao

    1. Nanjing University of Posts and Telecommunications, Nanjing, China

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  2. Kun Qian

    1. Beijing Institute of Technology, Beijing, China

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  3. Xin Wang

    1. Communication University of China, Beijing, China

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  4. Kejun Zhang

    1. Zhejiang University, Hangzhou, China

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  • Presents selected papers at the 9th Conference on Sound and Music Technology (CSMT) in November 2021, held in China

  • Covers a wide range topic from speech, signal processing, music understanding, machine learning, and signal processing

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 923)

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Table of contents (11 papers)

  1. Front Matter

    Pages i-viii
    PDF

  2. Computational Musicology

    1. Front Matter

      Pages 1-1
      PDF

    2. A Multitask Learning Approach for Chinese National Instruments Recognition and Timbre Space Regression

      • Shenyang Xu, Yiliang Jiang, Zijin Li, Xiaoheng Sun, Wei Li
      Pages 3-13

    4. SepMLP: An All-MLP Architecture for Music Source Separation

      • Jiale Qian, Yongwei Gao, Weixing Wei, Jiahao Zhao, Wei Li
      Pages 31-41

    5. Improving Automatic Piano Transcription by Refined Feature Fusion and Weighted Loss

      • Jiahao Zhao, Yulun Wu, Liang Wen, Lianhang Ma, Linping Ruan, Wantao Wang et al.
      Pages 43-53

    7. A Study on Monophonic Tremolo Recordings of Chinese Traditional Instrument Pipa Using Spectral Slope Curve

      • Yuancheng Wang, Hanqin Dai, Yuyang Jing, Wei Wei, Dorian Cazau, Olivier Adam et al.
      Pages 69-78

  3. General Audio Signal Processing

    1. Front Matter

      Pages 91-91
      PDF

    2. Learning Optimal Time-Frequency Representations for Heart Sound: A Comparative Study

      • Zhihua Wang, Zhihao Bao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
      Pages 93-104

    3. Improving Pathological Voice Detection: A Weakly Supervised Learning Method

      • Weixing Wei, Liang Wen, Jiale Qian, Yufei Shan, Jun Wang, Wei Li
      Pages 105-115

    4. Articulatory Analysis and Classification of Pathological Speech

      • Shufei Duan, Camille Dingam, Xueying Zhang, Haifeng Li
      Pages 117-133

  4. Human Ear Modelling

    1. Front Matter

      Pages 135-135
      PDF

    2. Channel-Vocoder-Centric Modelling of Cochlear Implants: Strengths and Limitations

      • Fanhui Kong, Yefei Mo, Huali Zhou, Qinglin Meng, Nengheng Zheng
      Pages 137-149
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About this book

The book presents selected papers at the 9th Conference on Sound and Music Technology (CSMT) held virtually in June 2022, organized by Zhejiang University, China. CSMT is a multidisciplinary conference focusing on audio processing and understanding with bias on music and acoustic signals. The primary aim of the conference is to promote the collaboration between art society and technical society in China. In this book, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning, and signal processing for advanced medical diagnosis and treatment applications, which demonstrates the target of CSMT merging arts and science research together. Its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI).
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Keywords

  • Audio Processing
  • Music Information Retrieval
  • Music Perception and Cognition
  • Acoustic Event Detection
  • Audio Engineering
  • Machine Listening
  • Acoustic Scene Classification
  • Auditory Psychology
  • Audio Information Security
  • Music Production
  • Computer Audition
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Editors and Affiliations

  • Nanjing University of Posts and Telecommunications, Nanjing, China

    Xi Shao

  • Beijing Institute of Technology, Beijing, China

    Kun Qian

  • Communication University of China, Beijing, China

    Xin Wang

  • Zhejiang University, Hangzhou, China

    Kejun Zhang

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Bibliographic Information

  • Book Title: Proceedings of the 9th Conference on Sound and Music Technology

  • Book Subtitle: Revised Selected Papers from CMST

  • Editors: Xi Shao, Kun Qian, Xin Wang, Kejun Zhang

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-981-19-4703-2

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Hardcover ISBN: 978-981-19-4702-5Published: 01 September 2022

  • Softcover ISBN: 978-981-19-4705-6Due: 15 September 2023

  • eBook ISBN: 978-981-19-4703-2Published: 31 August 2022

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: VIII, 149

  • Number of Illustrations: 9 b/w illustrations, 56 illustrations in colour

  • Topics: Speech and Audio Processing, Engineering Acoustics, Mathematics in Music, Theory of Music

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Access via your institution
eBook USD 169.00
Price excludes VAT (USA)
  • ISBN: 978-981-19-4703-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Hardcover Book USD 219.99
Price excludes VAT (USA)
Learn about institutional subscriptions