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Proceedings of the 6th Conference on Sound and Music Technology (CSMT) Revised Selected Papers /

Proceedings of the 6th Conference on Sound and Music Technology (CSMT) Revised Selected Papers /
Catalogue Information
Field name Details
Dewey Class 780.0519
Title Proceedings of the 6th Conference on Sound and Music Technology (CSMT) ([EBook] :) : Revised Selected Papers / / edited by Wei Li, Shengchen Li, Xi Shao, Zijin Li.
Added Personal Name Li, Wei
Li, Shengchen
Shao, Xi
Li, Zijin
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2019.
Publication Singapore : : Springer Singapore : : Imprint: Springer, , 2019.
Physical Details VIII, 107 p. : online resource.
ISBN 9789811387074
Summary Note 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.:
Contents note 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.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-981-13-8707-4
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