Tutorial covers generative models for music audio
It compares codecs, token models, diffusion, and flow matching, and discusses metrics, listening tests, and legal disputes.
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It compares codecs, token models, diffusion, and flow matching, and discusses metrics, listening tests, and legal disputes.
Community release ships a real-audio semantic tokenizer and NAR LoRA for YuE2-3B, enabling artist-style song generation and covers from user recordings.

ElevenLabs releases Music v2.5 via app and API, claiming fuller, more natural songs preferred over v2 in blind listening tests.
CMA-OT aligns a music generator's latent features with hierarchical expert representations via curriculum learning and scale-aware optimal transport, improving dance-to-music quality.
m-a-p's YuE2-3B music generation model and SheetSage2 audio encoder are repackaged in bf16 for ComfyUI and trending #30 on Hugging Face.
YuE2, a 3.59B-parameter music generation model, scores 6.9632 on SongBench, beating Suno v5 via symbolic planning.
StepAudio 3 Music introduces long-form text-controlled music generation using ABC-notation planning and flow-matching diffusion, ranking near the top music arena.
M-A-P released YuE2-3B, an open music generation model that outperforms Suno v5 on WildSongBench and runs locally on a 24GB GPU.

Suno launches v6, v6-wild, and free v6-mini music models co-developed with Warner Music Group, BMG, and Believe, retiring all older models.
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