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Media & Arts · Music

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The Telltale Signs of an AI-Generated Song
Evidence-backed problem

The Telltale Signs of an AI-Generated Song

More than half of the tracks uploaded to Deezer each day are now AI-generated, roughly 90,000 songs, which means the question of how to spot a synthetic track has moved from curiosity to job requirement for anyone handling music.

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Deezer says AI music now makes up half of all daily song uploads.
Evidence-backed problem

Deezer says AI music now makes up half of all daily song uploads.

The music streaming platform receives almost 90,000 AI-generated tracks each day, a jump from the 75,000 it last reported in April. Using its AI music detection tool, Deezer now says it will take down AI tracks “used to generate fraudulent streams,” in addition to those that haven’t been streamed in six months or more. [Link: AI Music Tops 50% of Daily Uploads on Deezer | https://newsroom-deezer.com/2026/07/ai-music-exceeds-50-percent-daily-uploads-deezer/ | Deezer Newsroom]

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Reclaiming the Humanities in AI-Generated Music: Language, Identity, and Social Media Circulation in Folk and Rock Traditions
Evidence-backed problem

Reclaiming the Humanities in AI-Generated Music: Language, Identity, and Social Media Circulation in Folk and Rock Traditions

Generative artificial intelligence (AI) has transformed music production from a specialist studio practice into a prompt-based, platform-mediated activity in which songs, lyrics, voices, and genre markers can be produced almost instantly. This article repositions the debate about AI music within the intersection of language, technology, and social media by examining folk and rock music as communicative traditions rather than merely sonic products. Using a qualitative critical-hermeneutic design, the study analyz…

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Artificial Intelligence in Music Generation: Techniques, Applications, and Challenges

The rapid advancement of artificial intelligence (AI), particularly in the field of deep learning, has significantly impacted creative domains such as music generation. From rule-based approaches to powerful generative models, AI is now capable of composing melodies, harmonies, and entire musical pieces with a degree of coherence and creativity previously thought to be uniquely human. This paper explores the evolution of AI-driven music generation, examining key technologies in- cluding Recurrent Neural Networks…

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Artificial Intelligence in Music Generation: Techniques, Applications, and Challenges

LSTM and CNN-Based Detection of AI-Generated Classical Music From MIDI Features

Detecting AI-generated classical music is a growing challenge as artificial intelligence continues to improve its ability to compose pieces that closely resemble human compositions. This study explores the use of deep learning methods like LSTM and CNN to classify whether a set of classical music is generated by AI or humans. The classification is based on sequential features extracted from MIDI files using beat-based segmentation, capturing statistical data of pitch, velocity, and duration over segments. The mo…

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LSTM and CNN-Based Detection of AI-Generated Classical Music From MIDI Features

MANAGEMENT OF AI-GENERATED MUSIC INTELLECTUAL PROPERTY

The recent dramatic improvement of artificial intelligence (AI) in creative fields has transformed the production of music, raising complicated issues of intellectual property (IP) rights. In this paper, the author discusses the legal and ethical issues surrounding the management of AI-generated music in the current legal context. It starts by describing the concept of AI-generated music and the technology of deep-learning and neural network that makes this kind of autonomous composition possible. An analysis of…

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MANAGEMENT OF AI-GENERATED MUSIC INTELLECTUAL PROPERTY

Artificial intelligence in the music streaming value chain: Exploring artists' and users’ perceptions on content creation and algorithmic consumption

Artificial Intelligence (AI) plays a pivotal role throughout every stage of the music industry value chain. In fact, AI has been integral to the value proposition of music streaming platforms since their inception. This research article investigates how AI—and in particular, Generative AI (GenAI)—affects the creation and consumption stages, the two most socially significant components of the music streaming value chain. It explores users’ perceptions of the impact of AI/GenAI on their music-listening experience…

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Artificial intelligence in the music streaming value chain: Exploring artists' and users’ perceptions on content creation and algorithmic consumption

Reclaiming the Sonic Archive: AI, Data Sovereignty, and the Future of Mijikenda Music

This paper examines the ethical implications and risks of applying artificial intelligence (AI) to Indigenous musical heritage, with a specific focus on the Mijikenda communities in the coast of Kenya. Traditional AI tools, deeply rooted in Western systems of knowledge, carry a significant risk of perpetuating digital colonialism. This manifests through the decontextualisation of sacred musical practices and the infringement of crucial data sovereignty rights. The study aims to analyse the fundamental effects em…

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Reclaiming the Sonic Archive: AI, Data Sovereignty, and the Future of Mijikenda Music

Musicians must embrace ‘unstoppable force’ of AI, Eurythmics’ Dave Stewart urges

The Eurythmics co-founder Dave Stewart has said artificial intelligence is an “unstoppable force”, and musicians and other artists should bow to the inevitable and license their music to generative AI platforms. These platforms use artificial intelligence to analyse existing songs and tracks, using that knowledge to generate completely new ones as prompted by a user. For example, someone could ask the AI platform to generate a song about a boozy night out in the style of a Britpop band, and it would draw on song…

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Musicians must embrace ‘unstoppable force’ of AI, Eurythmics’ Dave Stewart urges

Paul McCartney joins music industry protest against AI with silent track

At two minutes 45 seconds it’s about the same length as With a Little Help From My Friends. But Paul McCartney’s first new recording in five years lacks the sing-along tune and jaunty guitar chops because there’s barely anything there. The former Beatle, arguably Britain’s greatest living songwriter, is releasing a track of an almost completely silent recording studio as part of a music industry protest against copyright theft by artificial intelligence companies. In place of catchy melodies and evocative lyrics…

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Paul McCartney joins music industry protest against AI with silent track