songwriting-and-ai-music

Combine genre, mood, era, instruments, vocal style, production, and dynamics in the style field, and describe the song's dynamic journey rather than just listing genres. Avoid artist names and trademarks; describe the sound instead, such as "1960s Cold War spy thriller brass".

Map the original song's syllable counts, rhyme scheme, and stressed syllables first, then fit new words so stressed syllables land on the same beats. Match vowel sounds on held notes and keep a few original lines for recognizability.

Suno supports bracketed metatags for structure like [Verse], [Chorus], and [Bridge], vocal performance tags like [Whispered] and [Belted], dynamics tags like [Building Energy], and atmosphere tags like [Melancholic]. Keep to 5-8 tags per section to avoid confusing the model.

AI vocalists pronounce text literally, so unusual spellings and proper nouns often fail. Use phonetic respelling ("through" to "thru"), hyphenate syllables, spell out numbers, and test tricky words in a short clip before generating the full song.

Expect roughly 3-5 generations per good result, treating each output like a recording take. Use Extend or Continue on promising sections, and restate genre and mood when extending since style can drift.