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Distortion Repair

Distortion in Suno AI-generated music, particularly vocal distortion, can detract from the overall quality of the track. This often manifests as a degradation in audio quality as the song progresses, sometimes described as the AI getting "tired." Addressing these issues requires a combination of strategic generation techniques and post-processing methods.

Understanding Distortion Issues​

One common problem is the increasing distortion of the singer’s voice as the song continues. This can occur when the AI generates longer passages in the same style or with the same lyrics. Some users have noted that the AI seems to lose quality over time, resulting in a noticeable drop in audio fidelity.

Generation Techniques for Distortion Reduction​

To minimize distortion during the generation phase, consider the following strategies:

  • Section-Based Generation: Instead of creating an entire song at once, generate it in smaller sections, such as verse, chorus, and bridge. These sections can then be combined using a Digital Audio Workstation (DAW).
  • Whole Song for Each Section: When generating individual sections, ensure that you select the option to generate the "whole song" for each part. This helps maintain consistency in style and quality throughout the entire track, as later parts will reference the initial sections.
  • Style and Lyric Variation: Switching styles or lyrics between sections can help reset the AI and maintain consistent quality. This prevents the AI from becoming "tired" and reduces the likelihood of distortion.
  • Manual Endings: Do not rely on Suno AI to end the song automatically. Use prompts like [End] or [Fade Out] to ensure the song concludes smoothly.

Post-Processing for Distortion Repair​

Even with careful generation, some distortion may still be present. Post-processing techniques can help mitigate these issues:

  • Mastering Tools: Utilize mastering tools like Diktatorial Suite, CloudBounce, or Izotope Ozone to improve the clarity and loudness of your tracks. While these tools may not completely eliminate all glitches or background noise, they can enhance the overall sound quality.
  • Stem Separation: Separate your tracks into individual stems and enhance each one separately. Tools like Ultimate Vocal Remover can effectively isolate different parts of the track. Adjusting each stem individually allows for more detailed control and can help reduce unwanted noise in specific parts of the track.
  • Specialized Audio Restoration: Employ audio restoration tools like Izotope RX and Unchirp to address specific audio issues such as compression artifacts and chirping sounds. These tools are particularly useful for detailed work on stems with significant quality issues.

Additional Tips​

  • Experimentation: Mixing different types of processing tools and techniques can provide a more comprehensive improvement to your music.
  • Patience: Different tracks and genres may respond differently to various enhancements, so patience and experimentation are crucial.
  • AI-Driven Mastering: Consider using AI-driven mastering services as a starting point, but don’t rely solely on them to fix all issues.