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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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- ✅ **First project achieved!** Submitted **2 papers** to a **NeurIPS Workshop** based on our Music Tagging pipeline and dataset work. |
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<sub><em>Links to be added 🔗</em></sub> |
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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** ✅ |
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<sub>Links: _to be added_ 🔗</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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- NeurIPS Workshop Submission #1 — (TBD) ✍️ |
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- NeurIPS Workshop Submission #2 — (TBD) ✍️ |
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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:** [email protected]_ ✉️ |
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<sub>© 2025 MAAP LAB • Built with ❤️ for music & AI.</sub> |
