Design of a polyphonic AI music generation algorithm based on transformer adversarial mechanism

Key Points

• The aim is to develop an AI algorithm that effectively generates polyphonic music using advanced techniques.
• Designed a polyphonic music generation algorithm leveraging transformer architecture.
• Implemented an adversarial mechanism to enhance music creativity and complexity.
• Utilized deep learning techniques for improved music synthesis.
• Achieved superior music generation quality compared to traditional methods.
• Demonstrated the ability to create complex polyphonic compositions.
• Validated the approach through various benchmarks in music generation.

Abstract