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Proceedings of the 7th Conference on Sound and Music Technology (CSMT) [electronic resource] : Revised Selected Papers / edited by Haifeng Li, Shengchen Li, Lin Ma, Chunying Fang, Yidan Zhu.

Contributor(s): Li, Haifeng [editor.] | Li, Shengchen [editor.] | Ma, Lin [editor.] | Fang, Chunying [editor.] | Zhu, Yidan [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Electrical Engineering: 635Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: VIII, 143 p. 1 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811527562.Subject(s): Signal processing | Music—Mathematics | Music | Signal, Speech and Image Processing | Mathematics in Music | MusicAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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