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Proceedings of the 8th Conference on Sound and Music Technology

Selected Papers from CSMT

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Xi Shao

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

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  2. Kun Qian

    1. The University of Tokyo, Bunkyo-ku, Japan

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  3. Li Zhou

    1. China University of Geosciences, Wuhan, China

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  4. Xin Wang

    1. Communication University of China, Beijing, China

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  5. Ziping Zhao

    1. Tianjin Normal University, Tianjin, China

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  • Presents selected papers at the 8th Conference on Sound and Music Technology (CSMT) in November 2020, held in Taiyuan, Shanxi, China
  • Covers a wide range topic from speech, signal processing, music understanding, machine learning and signal processing for advanced medical diagnosis and treatment applications

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 761)

Included in the following conference series:

Conference proceedings info: CSMT 2020.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Computational Musicology

    1. Front Matter

      Pages 1-1
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    2. Chorus Detection Using Music Structure Analysis

      • Zhengyu Cao, Yongwei Gao, Wei Li
      Pages 3-17

    3. Deconstruct and Reconstruct Dizi Music of the Northern School and the Southern School

      • Yifan Xie, Rongfeng Li
      Pages 18-28

    4. Development of a Virtual Yangqin App with Unity Based on the Audio Object Pool Pattern

      • Ke Lyu, Rongfeng Li
      Pages 29-42

    5. Channel-wise Attention Mechanism in Convolutional Neural Networks for Music Emotion Recognition

      • Xi Chen, Lei Wang, Andi Pan, Wei Li
      Pages 43-54

    6. Symbolic Melody Phrase Segmentation Using Neural Network with Conditional Random Field

      • Yixiao Zhang, Gus Xia
      Pages 55-65

    7. Automatic Recognition of Basic Guzheng Fingering Techniques

      • Hailei Ding, Hao Zhang, Bingqiang Yan, Junjun Jiang, Min Huang, Zhongzhe Xiao
      Pages 66-77

    8. MusicTM-Dataset for Joint Representation Learning Among Sheet Music, Lyrics, and Musical Audio

      • Donghuo Zeng, Yi Yu, Keizo Oyama
      Pages 78-89

  3. General Audio Signal Processing

    1. Front Matter

      Pages 91-91
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    2. Adversarial Domain Adaptation for Open Set Acoustic Scene Classification

      • Chunxia Ren, Shengchen Li
      Pages 93-104

    3. Active Room Compensation for 2.5D Sound Field Reproduction

      • Yitong Chen, Wen Zhang
      Pages 105-112

    4. Recognition of Underwater Acoustic Target Using Sub-pretrained Convolutional Neural Networks

      • Andi Pan, Xi Chen, Wei Li
      Pages 113-123

    5. Two-Stage Classification Learning for Open Set Acoustic Scene Classification

      • Chunxia Ren, Shengchen Li
      Pages 124-133

    6. An Overview of Speech Dereverberation

      • Yuan Li, Lunhui Deng
      Pages 134-146

  4. Animal Sound Analysis

    1. Front Matter

      Pages 147-147
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    2. Detection of Basic Emotions from Cats’ Meowing

      • Qianlong Shou, Yumeng Xu, Junjun Jiang, Min Huang, Zhongzhe Xiao
      Pages 149-160

  5. Computer Audition for Healthcare

    1. Front Matter

      Pages 161-161
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    2. Are You Speaking with a Mask? An Investigation on Attention Based Deep Temporal Convolutional Neural Networks for Mask Detection Task

      • Yu Qiao, Kun Qian, Ziping Zhao, Xiaojing Zhao
      Pages 163-174

  6. CSMT 2020 Challenge Papers

    1. Front Matter

      Pages 175-175
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  1. Proceedings of the 8th Conference on Sound and Music Technology

Keywords

About this book

The book presents selected papers at the 8th Conference on Sound and Music Technology (CSMT) held in November 2020, at Taiyuan, Shanxi, 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 proceeding, 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).

Editors and Affiliations

  • Nanjing University of Posts and Telecommunications, Nanjing, China

    Xi Shao

  • The University of Tokyo, Bunkyo-ku, Japan

    Kun Qian

  • China University of Geosciences, Wuhan, China

    Li Zhou

  • Communication University of China, Beijing, China

    Xin Wang

  • Tianjin Normal University, Tianjin, China

    Ziping Zhao

Bibliographic Information

  • Book Title: Proceedings of the 8th Conference on Sound and Music Technology

  • Book Subtitle: Selected Papers from CSMT

  • Editors: Xi Shao, Kun Qian, Li Zhou, Xin Wang, Ziping Zhao

  • Series Title: Lecture Notes in Electrical Engineering

  • DOI: https://doi.org/10.1007/978-981-16-1649-5

  • 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. 2021

  • Hardcover ISBN: 978-981-16-1648-8Published: 25 April 2021

  • Softcover ISBN: 978-981-16-1651-8Published: 26 April 2022

  • eBook ISBN: 978-981-16-1649-5Published: 24 April 2021

  • Series ISSN: 1876-1100

  • Series E-ISSN: 1876-1119

  • Edition Number: 1

  • Number of Pages: XII, 210

  • Number of Illustrations: 29 b/w illustrations, 65 illustrations in colour

  • Topics: Signal, Image and Speech Processing, Engineering Acoustics, Mathematics in Music, Music

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