Skip to main content
SpringerLink
Log in
Book cover

Proceedings of the 6th Conference on Sound and Music Technology (CSMT)

Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Wei Li

    1. School of Computer Science and Technology, Fudan University, Shanghai, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Shengchen Li

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Xi Shao

    1. Institute of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Zijin Li

    1. China Conservatory of Music, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents selected papers from the 6th Conference on Sound and Music Technology (CSMT) in November 2018, held at Xiamen University of Technology, China.

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 568)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (9 papers)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Music Processing and Music Information Retrieval

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Novel Singer Identification Method Using GMM-UBM

      • Xulong Zhang, Yiliang Jiang, Jin Deng, Juanjuan Li, Mi Tian, Wei Li
      Pages 3-14

    3. A Practical Singing Voice Detection System Based on GRU-RNN

      • Zhigao Chen, Xulong Zhang, Jin Deng, Juanjuan Li, Yiliang Jiang, Wei Li
      Pages 15-25

    4. Multimodel Music Emotion Recognition Using Unsupervised Deep Neural Networks

      • Jianchao Zhou, Xiaoou Chen, Deshun Yang
      Pages 27-39

    5. Music Summary Detection with State Space Embedding and Recurrence Plot

      • Yongwei Gao, Yichun Shen, Xulong Zhang, Shuai Yu, Wei Li
      Pages 41-51

    6. Constructing a Multimedia Chinese Musical Instrument Database

      • Xiaojing Liang, Zijin Li, Jingyu Liu, Wei Li, Jiaxing Zhu, Baoqiang Han
      Pages 53-60

  3. Acoustic Sound Processing and Analysis

    1. Front Matter

      Pages 61-61
      Download chapter PDF

    2. Bird Sound Detection Based on Binarized Convolutional Neural Networks

      • Jianan Song, Shengchen Li
      Pages 63-71

    3. Adaptive Consistent Dictionary Learning for Audio Declipping

      • Penglong Wu, Xia Zou, Meng Sun, Li Li, Xingyu Zhang
      Pages 73-83

    4. A Comparison of Attention Mechanisms of Convolutional Neural Network in Weakly Labeled Audio Tagging

      • Yuanbo Hou, Qiuqiang Kong, Shengchen Li
      Pages 85-96

  4. Music Steganography

    1. Front Matter

      Pages 97-97
      Download chapter PDF

    2. A Standard MIDI File Steganography Based on Music Perception in Note Duration

      • Lei Guan, Yinji Jing, Shengchen Li, Ru Zhang
      Pages 99-107
Back to top

Keywords

About this book

This book discusses the use of advanced techniques to produce and understand music in a digital way. It gathers the first-ever English-language proceedings of the Conference on Sound and Music Technology (CSMT), which was held in Xiamen, China in 2018. As a leading event, the CSMT reflects the latest advances in acoustic and music technologies in China.  
Sound and technology are more closely linked than most people assume. For example, signal-processing methods form the basis of music feature extraction, while mathematics provides an objective means of representing current musicological theories and discovering new ones. Moreover, machine-learning methods include popular deep learning algorithms and are used in a broad range of contexts, from discovering patterns in music features to producing music. As these proceedings demonstrate, modern technologies not only offer new ways to create music, but can also help people perceive sound in innovative new ways.


Editors and Affiliations

  • School of Computer Science and Technology, Fudan University, Shanghai, China

    Wei Li

  • Beijing University of Posts and Telecommunications, Beijing, China

    Shengchen Li

  • Institute of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

    Xi Shao

  • China Conservatory of Music, Beijing, China

    Zijin Li

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation