David Guetta’s AI-Generated Eminem Voice and the Questions It Raises

Matthew Berman discusses a synthetic vocal played during a DJ set and considers consent, creative use and possible legal disputes.

DGDavid Guetta게스트
채널
Matthew Berman
게시일
2023년 2월 11일
영상
3:08
읽기
2분
원문
영어
YouTube에서 열기
스크롤하면 영상이 오른쪽 아래로 작아져 계속 재생됩니다. 자막은 읽기 언어를 따릅니다.
읽기 언어2개 언어로 읽을 수 있음
이 글은 아직 한국어 번역이 없어 영어 원문으로 표시합니다.
요약

30초 요약

In February 2023, Berman discusses a clip in which David Guetta describes using AI-generated lyrics and a voice resembling Eminem during a set. Berman considers audience expectations, sampling and hypothetical future music, while leaving the legality and any artist response unresolved.

  1. 1The DJ-set clipGuetta describes creating the vocal as a joke and playing it to a crowd.
  2. 2Two types of toolBerman names a text generator and a voice service; Guetta’s excerpt describes the two steps without naming services.
  3. 3Consent and audience expectationsBerman asks questions that the video does not resolve.
  4. 4Legal uncertaintyBerman anticipates possible disputes without establishing the legality of this example.

핵심 정리

  1. Guetta describes using two AI websites for lyrics and a synthetic voice in a DJ set.
  2. Berman identifies specific tools, though Guetta’s excerpt does not name them.
  3. The video does not establish what the audience knew or whether Eminem consented.
  4. Possible litigation is Berman’s prediction, not a legal conclusion.
전문

챕터별로 다듬은 전문 읽기

원본 자막만 보기
01

An AI voice in a DJ set

Berman introduces Guetta’s clip and his account of creating the synthetic vocal.

After discussing an AI-generated parody in a previous video, I turn to another example raising questions about creative work and copyright: a DJ set featuring an AI-generated voice resembling Eminem.

French DJ and producer David Guetta shared a clip of himself playing the sound during a set. In the video, Guetta says he made it as a joke, first using an AI website to generate lyrics in Eminem’s style and then another service to recreate the voice. He says the crowd reacted enthusiastically.

02

Tools, consent and sampling

Berman identifies tools and raises questions about audience knowledge and consent.

I describe the voice as sounding remarkably close and identify ChatGPT and Uberduck as the tools used in this example. Guetta’s clip describes two AI websites but does not name them there, so that tool identification is my account rather than a detail he confirms in the excerpt.

I ask how many people in the crowd recognized that the voice was synthetic, how many would care, and how Eminem might feel about a voice resembling his being used. The video does not establish what the audience knew or whether Eminem consented or responded.

I connect the question to hip-hop’s history of sampling and different artists’ approaches to clearing samples. Sampling existing recordings and generating a voice imitation can raise distinct questions, so the analogy alone does not decide the legal issues.

03

Future music and legal questions

He imagines further creative uses and predicts possible legal disputes.

I imagine future productions combining generated beats, lyrics and synthetic voices, including unexpected genre combinations. These are possibilities I speculate about, not evidence that a complete album was created in this example.

I expect that commercial use of such material could lead to litigation and suggest that legislation often struggles to keep pace with technology. That is my prediction, not a legal ruling; the video does not determine whether this particular use was lawful or how any future case would be resolved.

같은 채널의 다른 글

슬라이드 12장34:21EN
Matthew Berman· 2026년 10월 27일Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.AnthropicAI Safety엔터프라이즈 AI+2
0:26EN
Matthew Berman· 2026년 10월 25일Sam Altman on Human Values and Problem-Solving in an AI WorldSam Altman · OpenAIIn a short interview excerpt, Altman considers the enjoyment of solving hard problems and the human role in interpreting results.Human-AI CollaborationFuture of WorkAI Strategy
슬라이드 2장0:36EN
Matthew Berman· 2026년 10월 25일Kimi K3.1 and a Rubik’s Cube Solver DemonstrationMatthew Berman · Forward FutureMatthew Berman shows a scrambled virtual cube being solved and gives the Kimi K3.1 test a favorable assessment.평가(Evals)코딩 에이전트Open-weight models
슬라이드 2장0:21EN
Matthew Berman· 2026년 10월 24일An AI-Generated Kimi Benchmark Chart Used Invented ScoresMatthew Berman · Forward FutureMatthew Berman asks for a graph of Kimi K3.1 Pro benchmarks, then discovers that the displayed figures are illustrative placeholders.Benchmarks평가(Evals)Generative media
슬라이드 6장25:50EN
Matthew Berman· 2026년 10월 24일Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
슬라이드 2장32:20EN
Matthew Berman· 2026년 10월 23일Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1