Proceedings of the 6th Conference on Sound and Music Technology (CSMT): Revised Selected Papers: Lecture Notes in Electrical Engineering, cartea 568
Editat de Wei Li, Shengchen Li, XI Shao, Zijin Lien Limba Engleză Paperback – 15 aug 2020
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.
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Specificații
ISBN-13: 9789811387098
ISBN-10: 9811387095
Pagini: 107
Ilustrații: VIII, 107 p.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2019
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Singapore, Singapore
ISBN-10: 9811387095
Pagini: 107
Ilustrații: VIII, 107 p.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2019
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Singapore, Singapore
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Presents selected papers from the 6th Conference on Sound and Music Technology (CSMT) in November 2018, held at Xiamen University of Technology, China.