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Proceedings of the 7th Conference on Sound and Music Technology (CSMT): Revised Selected Papers 2020 ed. [Kõva köide]

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  • Formaat: Hardback, 143 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 1 Illustrations, black and white; VIII, 143 p. 1 illus., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 635
  • Ilmumisaeg: 22-Dec-2019
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811527555
  • ISBN-13: 9789811527555
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  • Formaat: Hardback, 143 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 1 Illustrations, black and white; VIII, 143 p. 1 illus., 1 Hardback
  • Sari: Lecture Notes in Electrical Engineering 635
  • Ilmumisaeg: 22-Dec-2019
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811527555
  • ISBN-13: 9789811527555
Teised raamatud teemal:
The book presents selected papers that have been accepted at the seventh Conference on Sound and Music Technology (CSMT) in December 2019, held in Harbin, Hei Long Jiang, China. CSMT is a domestic 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. The organisers of CSMT hope the conference can serve as a platform for interdisciplinary research. In this proceeding, the paper included covers a wide range topic from speech, signal processing and music understanding, which demonstrates the target of CSMT merging arts and science research together.
Speech Processing
Bandwidth Extension WaveNet for Bone-Conducted Speech Enhancement
3(12)
Changyan Zheng
Jibin Yang
Xiongwei Zhang
Tieyong Cao
Meng Sun
Linlin Zheng
Naturalness evaluation of synthetic speech based on residual learning networks
15(10)
Yiqing Guo
Jie Zhu
Detection of Operation Type and Order for Digital Speech
25(16)
Tingting Wu
Diqun Yan
Li Xiang
Rangding Wang
Music Information Retrieval
Singing Voice Detection Using Multi-Feature Deep Fusion with CNN
41(12)
Xulong Zhang
Shengchen Li
Zijin Li
Shizhe Chen
Yongwei Gao
Wei Li
A Multi-task Learning Approach for Melody Extraction
53(14)
Zhengyu Cao
Xiangyi Feng
Wei Li
A post-processing of onset detection based on verification with neural network
67(14)
Mingtai Lin
Yin Feng
Transfer Learning for Music Classification and Regression Tasks Using Artist Tags
81(12)
Lei Wang
Hongning Zhu
Xulong Zhang
Shengchen Li
Wei Li
Computational Musicology
MG-VAE: Deep Chinese Folk Songs Generation with Specific Regional Styles
93(14)
Jing Luo
Xinyu Yang
Shulei Ji
Juan Li
The Study of Mapping Strategies Between the Excitators of the Single-Reed Woodwind and the Bowed String
107(14)
Song Wang
Marcelo M. Wanderley
Gary Scavone
A Comparison of Melody Created by Artificial Intelligence and Human Based on Mathematical Model
121(12)
Ziming Li
Shengchen Li
Acoustic Signal Processing
Learning Multi-Resolution Representations for Acoustic Scene Classification via Neural Networks
133
Zijiang Yang
Kun Qian
Zhao Ren
Alice Baird
Zixing Zhang
Bjorn Schuller