Proceedings of the 7th Conference on Sound and Music Technology (CSMT): Revised Selected Papers
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Description
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. Front Matter ....Pages i-viii Front Matter ....Pages 1-1 Bandwidth Extension WaveNet for Bone-Conducted Speech Enhancement (Changyan Zheng, Jibin Yang, Xiongwei Zhang, Tieyong Cao, Meng Sun, Linlin Zheng)....Pages 3-14 Naturalness evaluation of synthetic speech based on residual learning networks (Yiqing Guo, Jie Zhu)....Pages 15-24 Detection of Operation Type and Order for Digital Speech (Tingting Wu, Diqun Yan, Li Xiang, Rangding Wang)....Pages 25-37 Front Matter ....Pages 39-39 Singing Voice Detection Using Multi-Feature Deep Fusion with CNN (Xulong Zhang, Shengchen Li, Zijin Li, Shizhe Chen, Yongwei Gao, Wei Li)....Pages 41-52 A Multi-task Learning Approach for Melody Extraction (Zhengyu Cao, Xiangyi Feng, Wei Li)....Pages 53-65 A post-processing of onset detection based on verification with neural network (Mingtai Lin, Yin Feng)....Pages 67-80 Transfer Learning for Music Classification and Regression Tasks Using Artist Tags (Lei Wang, Hongning Zhu, Xulong Zhang, Shengchen Li, Wei Li)....Pages 81-89 Front Matter ....Pages 91-91 MG-VAE: Deep Chinese Folk Songs Generation with Specific Regional Styles (Jing Luo, Xinyu Yang, Shulei Ji, Juan Li)....Pages 93-106 The Study of Mapping Strategies Between the Excitators of the Single-Reed Woodwind and the Bowed String (Song Wang, Marcelo M. Wanderley, Gary Scavone)....Pages 107-119 A Comparison of Melody Created by Artificial Intelligence and Human Based on Mathematical Model (Ziming Li, Shengchen Li)....Pages 121-130 Front Matter ....Pages 131-131 Learning Multi-Resolution Representations for Acoustic Scene Classification via Neural Networks (Zijiang Yang, Kun Qian, Zhao Ren, Alice Baird, Zixing Zhang, Björn Schuller)....Pages 133-143
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