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000898778 020__ $$a9789811387074$$q(electronic book)
000898778 020__ $$a9811387079$$q(electronic book)
000898778 020__ $$z9789811387067
000898778 035__ $$aSP(OCoLC)on1108524063
000898778 035__ $$aSP(OCoLC)1108524063
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000898778 049__ $$aISEA
000898778 050_4 $$aML1380$$b.C76 2018
000898778 08214 $$a780/.0519$$223
000898778 1112_ $$aCSMIT (Conference)$$n(6th :$$d2018 :$$cXiamen Shi, China)
000898778 24510 $$aProceedings of the 6th Conference on Sound and Music Technology (CSMT) :$$brevised selected papers /$$cWei Li, Shengchen Li, Xi Shao, Zijin Li, editors.
000898778 264_1 $$aSingapore :$$bSpringer,$$c[2019]
000898778 300__ $$a1 online resource
000898778 336__ $$atext$$btxt$$2rdacontent
000898778 337__ $$acomputer$$bc$$2rdamedia
000898778 338__ $$aonline resource$$bcr$$2rdacarrier
000898778 4901_ $$aLecture notes in electrical engineering ;$$vvolume 568
000898778 5050_ $$aA Novel Singer Identification Using GMM-UBM -- A Practical Singing Voice Detection System Based on GRU-RNN -- Multimodal Music Emotion Recognition Using Unsupervised Deep Neural Networks -- Music Summary Detection with Feature Embedding -- Constructing a Multimedia Chinese Musical Instruments Database -- Bird Sound Detection Based on Binarized Convolutional Neural Networks -- An adaptive consistent Dictionary Learning for audio declipping -- A Comparison of Attention Mechanisms of Convolutional Neural Network in Weakly Labelled Audio Tagging -- A Standard MIDI File Steganography Based on Music Perception.
000898778 506__ $$aAccess limited to authorized users.
000898778 520__ $$aThis book discusses the use of advanced techniques to produce and understand music in a digital way. It gathers the first-ever English-language proceedings of the Conference on Sound and Music Technology (CSMT), which was held in Xiamen, China in 2018. As a leading event, the CSMT reflects the latest advances in acoustic and music technologies in China. Sound and technology are more closely linked than most people assume. For example, signal-processing methods form the basis of music feature extraction, while mathematics provides an objective means of representing current musicological theories and discovering new ones. Moreover, machine-learning methods include popular deep learning algorithms and are used in a broad range of contexts, from discovering patterns in music features to producing music. As these proceedings demonstrate, modern technologies not only offer new ways to create music, but can also help people perceive sound in innovative new ways.--$$cProvided by publisher.
000898778 588__ $$aDescription based on online resource; title from digital title page (viewed on August 09, 2019).
000898778 650_0 $$aComputer music$$vCongresses.
000898778 650_0 $$aMusic.
000898778 7001_ $$aLi, Wei,$$eeditor.
000898778 7001_ $$aLi, Shengchen,$$eeditor.
000898778 7001_ $$aShao, Xi,$$eeditor.
000898778 7001_ $$aLi, Zijin,$$eeditor.
000898778 77608 $$iPrint version:$$aLi, Wei$$tProceedings of the 6th Conference on Sound and Music Technology (CSMT) : Revised Selected Papers$$dSingapore : Springer,c2019$$z9789811387067
000898778 830_0 $$aLecture notes in electrical engineering ;$$vv. 568.
000898778 852__ $$bebk
000898778 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-8707-4$$zOnline Access$$91397441.1
000898778 909CO $$ooai:library.usi.edu:898778$$pGLOBAL_SET
000898778 980__ $$aEBOOK
000898778 980__ $$aBIB
000898778 982__ $$aEbook
000898778 983__ $$aOnline
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