Today, I was invited by Professor Jing-Mei Zhu from the Department of Drama at National Taiwan University to deliver a lecture on AI music. My lecture was structured around the traditional workflow of digital music production, discussing which roles have already been replaced by AI, which processes remain challenging for AI to replicate, and which automated tools allow for greater control over details without heavy reliance on AI.
It is evident that AI is still not ideal for creating orchestral dramatic scores. However, tools like Suno AI can already generate very pleasing musical theater-style songs. For time-synced scoring, it is more effective to use high-quality licensed music libraries combined with automated tools, or, with a higher budget, to collaborate with composers. AI music, on the other hand, struggles with designing music that aligns with specific time points in a film’s narrative.
With this, the two AI music workshops for Chunghwa Telecom and today’s workshop at NTU have concluded for this semester. Throughout the process of preparing these sessions, I have gained many valuable insights myself!
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