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Introduction to Intelligent Music Systems and Applications

Authors:

Perfecto Herrera-BoyerAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 8, Issue 2

Article No.: 17, Pages 1 - 8

https://doi.org/10.1145/2991468

Published: 03 October 2016 Publication History

Abstract

Intelligent technologies have become an essential part of music systems and applications. This is evidenced by today's omnipresence of digital online music stores and streaming services, which rely on music recommenders, automatic playlist generators, and music browsing interfaces. A large amount of research leading to intelligent music applications deals with the extraction of musical and acoustic information directly from the audio signal using signal processing techniques. Other strategies exploit contextual aspects of music, not present in the signal, for example, community meta-data and trails of user interaction, as found, for instance, on social media platforms. In this editorial, we discuss the notion of “intelligent music system” and give an overview of the papers selected to this special issue.

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Cited By

Loreto-Amoretti MPerez-Valero L(2024)Inteligencia artificial para la producción musical (IAPM)Artificial Intelligence for Music Production (IAPM)Inteligência Artificial para Produção Musical (IAPM)YUYAY: Estrategias, Metodologías & Didácticas Educativas10.59343/yuyay.v3i1.593:1(66-87)Online publication date: 30-Apr-2024
https://doi.org/10.59343/yuyay.v3i1.59
Zhou JWang GZeng SZhang B(2023)Learning with Euler Collaborative Representation for Robust Pattern AnalysisACM Transactions on Intelligent Systems and Technology10.1145/3625235Online publication date: 26-Sep-2023
https://doi.org/10.1145/3625235
Avdeeff M(2019)Artificial Intelligence & Popular Music: SKYGGE, Flow Machines, and the Audio Uncanny ValleyArts10.3390/arts80401308:4(130)Online publication date: 11-Oct-2019
https://doi.org/10.3390/arts8040130
Show More Cited By

Index Terms

Introduction to Intelligent Music Systems and Applications
1. Applied computing
  1. Arts and humanities
    1. Sound and music computing

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Information

Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 8, Issue 2

Survey Paper, Special Issue: Intelligent Music Systems and Applications and Regular Papers

March 2017

407 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/3004291

Editor:
Yu Zheng
Microsoft Research, China

Issue’s Table of Contents

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2016

Accepted: 01 July 2016

Received: 01 July 2016

Published in TIST Volume 8, Issue 2

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Cited By

Loreto-Amoretti MPerez-Valero L(2024)Inteligencia artificial para la producción musical (IAPM)Artificial Intelligence for Music Production (IAPM)Inteligência Artificial para Produção Musical (IAPM)YUYAY: Estrategias, Metodologías & Didácticas Educativas10.59343/yuyay.v3i1.593:1(66-87)Online publication date: 30-Apr-2024
https://doi.org/10.59343/yuyay.v3i1.59
Zhou JWang GZeng SZhang B(2023)Learning with Euler Collaborative Representation for Robust Pattern AnalysisACM Transactions on Intelligent Systems and Technology10.1145/3625235Online publication date: 26-Sep-2023
https://doi.org/10.1145/3625235
Avdeeff M(2019)Artificial Intelligence & Popular Music: SKYGGE, Flow Machines, and the Audio Uncanny ValleyArts10.3390/arts80401308:4(130)Online publication date: 11-Oct-2019
https://doi.org/10.3390/arts8040130
Zhang ZGeiger JPohjalainen JMousa AJin WSchuller B(2018)Deep Learning for Environmentally Robust Speech RecognitionACM Transactions on Intelligent Systems and Technology10.1145/31781159:5(1-28)Online publication date: 24-Apr-2018
https://dl.acm.org/doi/10.1145/3178115

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