Mastering Song Extensions with Suno AI

Problem:

One of the main challenges faced by musicians using Suno AI involves managing the quality of music as they extend or render songs multiple times. This often results in disjointed lyrics and a deterioration in vocal performance, affecting the overall quality of the music.

Solution: Utilize strategic practices for song extensions in Suno to ensure high-quality music production.

Examples:

1. Create multiple iterations of song sections and select the most effective:

   Extend verse 1, chorus 1; Extend verse 2, chorus 2; Extend verse 3, bridge 1, chorus 3, end.

   Evaluating multiple versions helps identify and resolve issues early, enhancing the song’s overall quality.

2. Use AI feedback to refine lyrics and composition before final adjustments:

   Discard less successful attempts and allow the AI time to refresh.

   Allowing the AI to refresh can lead to better outcomes when adjustments are made.

3. Limit the number of extensions to prevent quality reduction:

   Limit to one start and two or three extensions to complete the song.

   This method helps maintain sound quality and prevents the degradation often seen with multiple extensions.

Additional Tips:

• Save any generation that meets your standards using the “get whole song” option for consistency.
• Experiment with segment durations and adjust EQ settings to suit your style.
• Engage with the community for fresh tips and continuously refine your technique for using AI in music production.