Heuristics for Evaluation of AI Generated Music

Dervakos, Edmund; Filandrianos, Giorgos; Stamou, Giorgos

doi:10.1109/icpr48806.2021.9413310

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…The discussion in this section highlights different products and services in generative AI that have transformed the way we live, work and access/consume information in general [24,25].…”

Section: Generative Ai Applicationsmentioning

confidence: 99%

A Review of Generative AI from Historical Perspectives

dasgupta¹,

venugopal²,

Gupta³

2023

Preprint

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<p>Many applications of Generative AI (such as DALL-E, GPT-3, ChatGPT, etc.) are making headline news in recent months and have been receiving both praise and criticism for their far reaching implications. Some of these applications include query responses, language translation, text to images and videos, composing stories, essays, creating arts and music, generating programs, etc. This review provides an historical background of Generative AI techniques and how they evolved over the years. This report highlights the benefits of Generative AI technologies and their limitations/challenges in moving forward. It is also to be noted that the large-scale applications of AI and their successes are now possible due to exponential advances in hardware (computational power, storage capacity), cloud computing and related operational layers of software.</p>

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“…The discussion in this section highlights different products and services in generative AI that have transformed the way we live, work and access/consume information in general [24,25].…”

Section: Generative Ai Applicationsmentioning

confidence: 99%

A Review of Generative AI from Historical Perspectives

dasgupta¹,

venugopal²,

Gupta³

2023

Preprint

View full text Add to dashboard Cite

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A Survey on Edge Intelligence for Music Composition: Principles, Applications, and Privacy Implications

Wang,

Qu,

Nan

et al. 2024

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Artificial intelligence in music: recent trends and challenges

Mycka,

Mańdziuk

2024

Neural Comput & Applic

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Music has always been an essential aspect of human culture, and the methods for its creation and analysis have evolved alongside the advancement of computational capabilities. With the emergence of artificial intelligence (AI) and one of its major goals referring to mimicking human creativity, the interest in music-related research has increased significantly. This review examines current literature from renowned journals and top-tier conferences, published between 2017 and 2023, regarding the application of AI to music-related topics. The study proposes a division of AI-in-music research into three major categories: music classification, music generation and music recommendation. Each category is segmented into smaller thematic areas, with detailed analysis of their inter- and intra-similarities and differences. The second part of the study is devoted to the presentation of the AI methods employed, with specific attention given to deep neural networks—the prevailing approach in this domain, nowadays. In addition, real-life applications and copyright aspects of generated music are outlined. We believe that a detailed presentation of the field along with pointing out possible future challenges in the area will be of some value for both the established AI-in-music researchers, as well as the new scholars entering this fascinating field.

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Heuristics for Evaluation of AI Generated Music

Cited by 5 publications

References 10 publications

A Review of Generative AI from Historical Perspectives

A Review of Generative AI from Historical Perspectives

A Survey on Edge Intelligence for Music Composition: Principles, Applications, and Privacy Implications

Artificial intelligence in music: recent trends and challenges

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