Multi-style music generation and sound quality enhancement technology based on MC-DCGAN model

Key Points

• The aim is to explore the use of the MC-DCGAN model for generating music in various styles while enhancing audio quality.
• Utilized the MC-DCGAN (Multi-Channel Deep Convolutional Generative Adversarial Network) model for music generation.
• Employed audio processing techniques for sound quality improvement.
• Conducted experiments on different musical styles to assess model effectiveness.
• Successfully generated high-quality music across multiple styles.
• Achieved notable enhancements in audio clarity and richness.
• Indicated potential for broader applications in music production and audio technology.

Abstract