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AI and Music Lecture
Jul 15, 2024
AI and Music Lecture
Introduction to AI in Music
Speaker discusses advancements in AI-generated music.
Introduction to Jacob Ker’s song vs. an AI-generated song.
Speaker notes how realistic AI music sounds.
Identification of AI Music
Speaker shares personal anecdote about playing AI music at home.
Dylan, a 10th grader, could instantly recognize the AI-generated songs.
Test conducted with 10 AI songs vs. non-AI songs with similar results.
Dylan senses something “weird” in AI-generated voices.
Other kids (Dylan's peers) struggled to identify AI vs non-AI music.
AI Compositions
Examples of AI-generated songs shared via email to speaker.
Example 1: Sad beach song.
Example 2: Metal band from Belarus using fully AI for their music.
Utilization of the "udio" program for AI music generation.
Example 3: Movie score in the style of Ennio Morricone.
Future of AI in Music
AI is expected to be widely used in the future for music composition.
Speaker suggests people will bypass traditional composers in favor of AI.
Majority of listeners unable to discern AI from real compositions.
Personal Experiences
Speaker shares another incident with daughter, Leila, recognizing AI music.
Family kids seem more adept at identifying AI music due to a certain 'echo' or 'sound'.
AI Music Prompts
Prompts used to generate AI music: examples include various genres and style-specific cues.
Example: prompt for chill music including genres like Chillstep, House, HipHop.
General Observations
Digital processing of human voice makes AI indistinguishable from real in some cases.
AI might replace human musicians, benefiting companies who develop AI tools.
Speaker notes using AI for interactive improvisation could be an interesting use-case.
Use of AI in live performance settings suggested.
Ethical and Economic Concerns
Discussion about ownership and profit: who gets paid for AI-generated works?
AI on training data from existing human creations—ethical implications mentioned.
Congressional testimony by speaker reveals slow legislative response.
Conclusion
AI is at an inflection point in music industry; curiosity about audience's ability to recognize AI music.
Speaker asks for feedback from the audience and encourages engagement (subscribes/comments).
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