
Proceedings of the 7th Conference on Sound and Music Technology (CSMT)
Revised Selected Papers
Springer (Publisher)
Published on 22. December 2019
Book
Hardback
VIII, 143 pages
978-981-15-2755-5 (ISBN)
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.
More details
Series
Edition
2020 ed.
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
1 s/w Abbildung
VIII, 143 p. 1 illus.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 14 mm
Weight
428 gr
ISBN-13
978-981-15-2755-5 (9789811527555)
DOI
10.1007/978-981-15-2756-2
Schweitzer Classification
Other editions
Additional editions

Haifeng Li | Shengchen Li | Lin Ma
Proceedings of the 7th Conference on Sound and Music Technology (CSMT)
Revised Selected Papers
Book
12/2020
Springer
€160.49
Shipment within 3-4 weeks

Haifeng Li | Shengchen Li | Lin Ma
Proceedings of the 7th Conference on Sound and Music Technology (CSMT)
Revised Selected Papers
E-Book
12/2019
1st Edition
Springer
€149.79
Available for download
Content
Bandwidth Extension WaveNet for Bone-Conducted Speech Enhancement.- Naturalness evaluation of synthetic speech based on residual learning networks.- Detection of Operation Type and Order for Digital Speech.- Singing Voice Detection Using Multi-Feature Deep Fusion with CNN.- A Multi-task Learning Approach for MelodyExtraction.- A post-processing of onset detection based on veri?cation with neural network.- Transfer learning for music classification and regression tasks using artist tags.