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Music and Audio Computing Lab
- Daejeon, South Korea
- https://seungheondoh.github.io/
Highlights
- Pro
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lp-music-dialog Public
Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models [ISMIR24]
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music-text-representation-pp Public
Enriching Music Descriptions with a Finetuned-LLM and Metadata for Text-to-Music Retrieval (TTMR++) [ICASSP24]
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musical-word-embedding Public
Musical Word Embedding for Music Tagging and Retrieval [IEEE TASLP]
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lp-music-caps Public
LP-MusicCaps: LLM-Based Pseudo Music Captioning [ISMIR23]
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music-data-leakage Public
data leakage problem between large music datasets
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speech-to-music Public archive
Textless Speech-to-Music Retrieval Using Emotion Similarity [ICASSP23]
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msu-benchmark Public
music semantic understanding evaluation benchmark
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msd-subsets Public
million song dataset split for extended clean tag & artist-level stratified
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music-text-representation Public archive
Toward Universal Text-to-Music-Retrieval (TTMR) [ICASSP23]
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music_caps_dl Public
Unofficial download repository for MusicCaps
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music-captioning-eval Public
compare captioning evaluation framework (Huggingface evaluate vs Coco-eval)
Jupyter Notebook UpdatedMar 26, 2023 -
speech-to-music-demo Public
https://seungheondoh.github.io/speech-to-music-demo/
HTML UpdatedMar 21, 2023