How does AI learn music theory?
AI learns music theory through algorithms that analyze vast amounts of musical data, identifying patterns and structures.
Can you explain the process in more detail?
Sure! AI uses machine learning techniques, like neural networks, to process music scores and audio, extracting features like melody, harmony, and rhythm.
What kind of data is used for training?
Training data includes sheet music, MIDI files, and audio recordings, which help the AI understand different musical styles and genres.
Are there any limitations to how AI understands music theory?
Yes, AI may struggle with nuances like emotional expression and cultural context, which are often subjective in music.
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