Suno Subgenre Performance
यह कंटेंट अभी तक आपकी भाषा में उपलब्ध नहीं है।
Introduction
Suno AI is a tool that generates music based on prompts. Users have noticed that it excels in some subgenres while struggling with others. Let’s break down these observations and offer solutions.
Suno’s Struggles
1. Early Post-Punk and Jangly Guitar
Suno seems to have difficulty replicating the early post-punk sound, especially with jangly guitar elements like in “This Charming Man” by The Smiths.
2. Boyband Music
Creating early 2000s boyband music poses a challenge. Users reported the AI’s inability to generate accurate intro noises like the private jet arrival.
3. Dubstep and EDM
While Suno can handle basic DnB and Latin pop, it struggles with more complex EDM genres, especially those requiring heavy sound design.
https://suno.com/song/d9cba71c-ab71-4904-aeed-c9eaeaae9bbc
4. Mandarin Music
Suno often struggles with Mandarin songs, likely due to insufficient training data. Korean and Japanese songs seem to fare better.
5. Metal Subgenres
Suno has issues with extreme metal genres like doom and black metal. The AI-generated riffs often miss the mark.
https://suno.com/song/f4dc326e-4d95-475b-ac7a-9f02c64fbebc
Suno’s Strengths
1. Trap Music
Users consistently find Suno excels in creating trap music, often producing high-quality bangers.
2. Lofi Music
Suno shines in generating various lofi subgenres like soul, RnB, and chill hop.
3. Jazz and Blues
1920s-1950s jazz and blues, particularly with female vocals, are areas where Suno performs well, though sometimes the vocals sound robotic.
4. Country and Indie
Suno is effective in generating country and indie music, providing a believable and authentic sound.
Solutions and Tips
1. Modify Prompts
To get better results, especially for difficult genres, modify your prompts. Repeat the genre name multiple times to emphasize it.
2. Use Original Content
Ensure the lyrics and music you input are original to avoid issues with sampling and copyright.
3. Dispute Incorrect Claims
If you encounter incorrect sampling detections, dispute them. Automated detections can often be overturned with a human review.
Conclusion
Suno AI has its strengths and weaknesses across different music genres. By understanding these, you can better tailor your prompts to achieve the desired results. Keep experimenting and adapting to make the most of this powerful tool.