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title: README |
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# MAAP LAB 🎵 — Music AI & Audio Research |
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> “Why are there so few labs in Korea dedicated to Music AI? We built one.” |
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<div align="left"> |
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**Focus areas:** |
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🎼 Audio Generation · 🏷️ Music Tagging · 🗣️ Voice Conversion · 🧠 Transformers · 💨 Diffusion |
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</div> |
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## Mission |
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Advance the foundations of **Music AI** through practical research in tagging, generation, and dataset-centric methods — then share our results openly with the community. ✨ |
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## Open Science |
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We aim to publish at top venues (e.g., **ICASSP**, **ISMIR**, **AAAI**) and release code, models, and datasets whenever possible. 📢 |
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## Latest News 🗞️ |
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- ✅ **NeurIPS Workshop 2025**: |
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- Accepted 🎉 **AIBA: Attention-based Instrument Band Alignment for Text-to-Audio Diffusion** |
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- ✍️ **ICASSP 2026 submission**: |
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- Resubmitted and extended version of **Jamendo-QA** |
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- Preprint available on [arXiv (2509.15662)](https://arxiv.org/abs/2509.15662) |
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- 🧰 GPU resources via university support: **NVIDIA A100**, **A6000**, **RTX 4090** ⚙️ |
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## Our Activities 🎯 |
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### Project 1 — Music Tagging (Completed) 🏷️ |
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- Built a tagging & augmentation pipeline with **CLAP**, **Beam Search**, **Stable Audio** |
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- Focus: dataset **augmentation/creation** for future work |
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- Targets: short-term **word generation** → long-term **sentence generation** with **LLMs** |
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- **Outcome:** 2 **NeurIPS Workshop submissions** (1 accepted, 1 rejected → resubmitted to ICASSP) |
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<sub>[AIBA — Accepted ✅](#) · [Jamendo-QA — Arxiv 🔗](https://arxiv.org/abs/2509.15662)</sub> |
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### Project 2 — Efficient Music Generation (In Progress) 🎶 |
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- Exploring **Diffusion** & **DiT (e.g., Flux)** |
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- **LoRA/Adapters** to avoid full fine-tuning |
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- Goal: robust generation for **data-scarce** genres/instruments/domains |
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- Roadmap: dataset curation → baseline reproduction → adapter experiments → ablations → release |
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## Publications & Submissions 📚 |
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- **AIBA: Attention-based Instrument Band Alignment for Text-to-Audio Diffusion** — *Accepted at NeurIPS Workshop 2025* |
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- **Jamendo-QA: A Large-Scale Music Question Answering Dataset** — *Submitted to ICASSP 2026 · Preprint on [arXiv](https://arxiv.org/abs/2509.15662)* |
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## Get Involved 🤝 |
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Interested in collaborating on **Music AI**? We welcome discussions on datasets, evaluation, and model design. |
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**Contact:** _arsol970812@gmail.com_ ✉️ |
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<sub>© 2025 MAAP LAB • Built with ❤️ for music & AI.</sub> |
