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Proceedings of the 10th Conference o...

Conference on Sound and Music Technology (2023 :)

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Proceedings of the 10th Conference on Sound and Music Technology = revised selected papers from CMST /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the 10th Conference on Sound and Music Technology/ edited by Kun Qian ... [et al.].
Reminder of title:	revised selected papers from CMST /
remainder title:	CMST
other author:	Qian, Kun.
corporate name:	Conference on Sound and Music Technology
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	x, 140 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	A Holistic Evaluation of Piano Sound Quality -- A Survey Of Singing Voice Synthesis -- Double-Mix-Net: A Multimodal Music Emotion Recognition Network with Multi-Layer Feature Mixing -- Research on Generalization of U-Net Intermediate Block Design for Music Source Separation -- XBeat: A Hybrid Cnn-Transformer Model for Beat And Downbeat Tracking.
Contained By:	Springer Nature eBook
Subject:	Acoustical engineering - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-97-7962-8
ISBN:	9789819779628

Proceedings of the 10th Conference on Sound and Music Technology = revised selected papers from CMST /
Proceedings of the 10th Conference on Sound and Music Technologyrevised selected papers from CMST /[electronic resource] :CMSTedited by Kun Qian ... [et al.]. - Singapore :Springer Nature Singapore :2025. - x, 140 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in electrical engineering,v. 12681876-1119 ;. - Lecture notes in electrical engineering ;v. 1268..

A Holistic Evaluation of Piano Sound Quality -- A Survey Of Singing Voice Synthesis -- Double-Mix-Net: A Multimodal Music Emotion Recognition Network with Multi-Layer Feature Mixing -- Research on Generalization of U-Net Intermediate Block Design for Music Source Separation -- XBeat: A Hybrid Cnn-Transformer Model for Beat And Downbeat Tracking.

The book presents selected papers at the 10th Conference on Sound and Music Technology (CSMT) held in June 2023, China. CSMT is a multidisciplinary 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. In this book, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning, and signal processing for advanced medical diagnosis and treatment applications, which demonstrates the target of CSMT merging arts and science research together. Its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI)

ISBN: 9789819779628

Standard No.: 10.1007/978-981-97-7962-8doiSubjects--Topical Terms:

3217004
Acoustical engineering
--Congresses.

LC Class. No.: TA365

Dewey Class. No.: 620.2

Proceedings of the 10th Conference on Sound and Music Technology = revised selected papers from CMST /
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505 0 $a A Holistic Evaluation of Piano Sound Quality -- A Survey Of Singing Voice Synthesis -- Double-Mix-Net: A Multimodal Music Emotion Recognition Network with Multi-Layer Feature Mixing -- Research on Generalization of U-Net Intermediate Block Design for Music Source Separation -- XBeat: A Hybrid Cnn-Transformer Model for Beat And Downbeat Tracking.
520 $a The book presents selected papers at the 10th Conference on Sound and Music Technology (CSMT) held in June 2023, China. CSMT is a multidisciplinary 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. In this book, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning, and signal processing for advanced medical diagnosis and treatment applications, which demonstrates the target of CSMT merging arts and science research together. Its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI)
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