Proceedings of the 7th Conference on Sound and Music Technology (CSMT): Revised Selected Papers: Lecture Notes in Electrical Engineering, cartea 635
Editat de Haifeng Li, Shengchen Li, Lin Ma, Chunying Fang, Yidan Zhuen Limba Engleză Paperback – 22 dec 2020
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Specificații
ISBN-13: 9789811527586
ISBN-10: 981152758X
Pagini: 143
Ilustrații: VIII, 143 p. 1 illus.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Singapore, Singapore
ISBN-10: 981152758X
Pagini: 143
Ilustrații: VIII, 143 p. 1 illus.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering
Locul publicării:Singapore, Singapore
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Presents selected papers from the 7th Conference on Sound and Music Technology (CSMT), held in Harbin, China in December 2019