Proceedings of the 7th Conference on Sound and Music Technology (CSMT): Revised Selected Papers
Author:   Haifeng Li ,  Shengchen Li ,  Lin Ma ,  Chunying Fang
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2020
Volume:   635
ISBN:  

9789811527586


Pages:   143
Publication Date:   22 December 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Proceedings of the 7th Conference on Sound and Music Technology (CSMT): Revised Selected Papers


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Overview

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.

Full Product Details

Author:   Haifeng Li ,  Shengchen Li ,  Lin Ma ,  Chunying Fang
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2020
Volume:   635
Weight:   0.454kg
ISBN:  

9789811527586


ISBN 10:   981152758
Pages:   143
Publication Date:   22 December 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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 verification with neural network.- Transfer learning for music classification and regression tasks using artist tags.

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