Proceedings of the 9th Conference on Sound and Music Technology : Revised Selected Papers from CMST

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ISBN 10: 9811947023 / ISBN 13: 9789811947025

Published by Springer Nature Singapore, 2022

About this Item

Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The book presents selected papers at the 9th Conference on Sound and Music Technology (CSMT) held virtually in June 2022, organized by Zhejiang University, 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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Bibliographic Details

• Title: Proceedings of the 9th Conference on Sound and Music Technology : Revised Selected Papers from CMST
• Publisher: Springer Nature Singapore
• Publication Date: 2022
• Language: English
• ISBN 10: 9811947023
• ISBN 13: 9789811947025
• Binding: Hardcover
• Condition: Hervorragend
• Seller catalogs:
  • Bücher

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Synopsis

The book presents selected papers at the 9th Conference on Sound and Music Technology (CSMT) held virtually in June 2022, organized by Zhejiang University, 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).