Project AURIONAI Use-Cases Research & Innovation

Text-to-Music and Song Generation

Generating music, including vocals that follow given lyrics, from text descriptions, melodies or reference audio.

Tier Grades

feasible

Tier A: Frontier AI labs

feasible

Google DeepMind, Suno and Meta lead, and YuE needed 58 authors and trillions of tokens.

stretch

Tier B: Indonesian AI labs

stretch

Licensed music data at YuE's scale is hard to obtain, though fine-tuning open models such as ACE-Step is possible.

stretch

Tier C: Institution units such as ITB

stretch

Units can fine-tune open models that run 4 minutes of music in 20 seconds on one A100, but not train at scale.

feasible

Tier D: Organisations such as SEMAI (PoT, PoC, PoV)

feasible

Open and API music models can produce licensed background music for content proofs of concept.

Where this comes from
Tiers: a) frontier AI labs, b) Indonesian AI labs, c) institution units such as ITB, d) organisations such as SEMAI delivering proof of technology, concept and value. Each rationale cites the anchors below.

Anchors

  • ComputeACE-Step generates up to 4 minutes of music in 20 seconds on one A100; training compute is not in the MusicGen, YuE or ACE-Step abstracts.
  • DataYuE scales to trillions of tokens and generates up to five minutes of music; MusicGen trains a single-stage LM over compressed music tokens.
  • Team size (proxy)Proxy only (author count of an exemplar paper, not a headcount): 8 authors on MusicGen; 58 on YuE; 5 on ACE-Step.
  • Time horizonMonths.
  • Shelf-life signalsLicensing settlements limiting training to licensed music, Open models matching Suno on arena boards
  • Pipeline roleTier A trains music models; Tier C studies control and evaluation; Tier B adds Indonesian styles; Tier D uses licensed outputs in media pilots.
Where this comes from
Team size is a proxy (author counts of exemplar papers), not a headcount.

Who and What

Exemplars
Observed actors
Linked models
+15

Papers

Where this comes from
The papers to read first: where the direction began, its current best, and a survey when one exists.

Sources

  1. arxiv.org/abs/2306.05284 https://arxiv.org/abs/2306.05284
  2. arxiv.org/abs/2503.08638 https://arxiv.org/abs/2503.08638
  3. arxiv.org/abs/2506.00045 https://arxiv.org/abs/2506.00045

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Text-to-Music and Song Generation", https://aurion.semai.id/topics/text-to-music-generation/, records of October 2026.