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Proceedings of the 6th Conference on Sound and Music Technology (CSMT) Revised Selected Papers
Title
Proceedings of the 6th Conference on Sound and Music Technology (CSMT) [electronic resource] : Revised Selected Papers / edited by Wei Li, Shengchen Li, Xi Shao, Zijin Li.
ISBN
9789811387074
Edition
1st ed. 2019.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2019.
Physical Description
1 online resource (VIII, 107 p).
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
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Printed edition:
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Format
Books / Online
Language
English
Added to Catalog
July 08, 2019
Series
Lecture Notes in Electrical Engineering, 568
Contents
A Novel Singer Identification Using GMM-UBM
A Practical Singing Voice Detection System Based on GRU-RNN
Multimodal Music Emotion Recognition Using Unsupervised Deep Neural Networks
Music Summary Detection with Feature Embedding
Constructing a Multimedia Chinese Musical Instruments Database
Bird Sound Detection Based on Binarized Convolutional Neural Networks
An adaptive consistent Dictionary Learning for audio declipping
A Comparison of Attention Mechanisms of Convolutional Neural Network in Weakly Labelled Audio Tagging
A Standard MIDI File Steganography Based on Music Perception.
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