Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. - Seungheon Doh; Jongpil Lee; Tae Hong Park; Juhan Nam (CoRR, 2020)

EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. - Hsiao-Tzu Hung; Joann Ching; Seungheon Doh; Nabin Kim; Juhan Nam; Yi-Hsuan Yang (ISMIR, 2021)

TräumerAI: Dreaming Music with StyleGAN. - Dasaem Jeong; Seungheon Doh; Taegyun Kwon (CoRR, 2021)

Music Playlist Title Generation: A Machine-Translation Approach. - Seungheon Doh; Junwon Lee; Juhan Nam (CoRR, 2021)

EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. - Hsiao-Tzu Hung; Joann Ching; Seungheon Doh; Nabin Kim; Juhan Nam; Yi-Hsuan Yang (Zenodo, 2021)

EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. - Hsiao-Tzu Hung; Joann Ching; Seungheon Doh; Nabin Kim; Juhan Nam; Yi-Hsuan Yang (Zenodo, 2021)

EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. - Hsiao-Tzu Hung; Joann Ching; Seungheon Doh; Nabin Kim; Juhan Nam; Yi-Hsuan Yang (Zenodo, 2021)

EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation. - Hsiao-Tzu Hung; Joann Ching; Seungheon Doh; Nabin Kim; Juhan Nam; Yi-Hsuan Yang (Zenodo, 2021)

Hi, KIA: A Speech Emotion Recognition Dataset for Wake-Up Words. - Taesu Kim; Seungheon Doh; Gyunpyo Lee; Hyungseok Jeon; Juhan Nam; Hyeon-Jeong Suk (CoRR, 2022)

Annotator Subjectivity in the MusicCaps Dataset. - Minhee Lee; Seungheon Doh; Dasaem Jeong (HCMIR@ISMIR, 2023)

Textless Speech-to-Music Retrieval Using Emotion Similarity. - Seungheon Doh; Minz Won; Keunwoo Choi; Juhan Nam (ICASSP, 2023)

Toward Universal Text-To-Music Retrieval. - Seungheon Doh; Minz Won; Keunwoo Choi; Juhan Nam (ICASSP, 2023)

LP-MusicCaps: LLM-Based Pseudo Music Captioning. - Seungheon Doh; Keunwoo Choi; Jongpil Lee; Juhan Nam (ISMIR, 2023)

Music Playlist Title Generation Using Artist Information. - Haven Kim; Seungheon Doh; Junwon Lee; Juhan Nam (CoRR, 2023)

The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation. - Ilaria Manco; Benno Weck; Seungheon Doh; Minz Won; Yixiao Zhang 002; Dmitry Bogdanov; Yusong Wu; Ke Chen 021; Philip Tovstogan; Emmanouil Benetos; Elio Quinton; György Fazekas; et al. (CoRR, 2023)

Enriching Music Descriptions with A Finetuned-LLM and Metadata for Text-to-Music Retrieval. - Seungheon Doh; Minhee Lee; Dasaem Jeong; Juhan Nam (ICASSP, 2024)

Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models. - Seungheon Doh; Keunwoo Choi; Daeyong Kwon; Taesoo Kim; Juhan Nam (ISMIR, 2024)

Musical Word Embedding for Music Tagging and Retrieval. - Seungheon Doh; Jongpil Lee; Dasaem Jeong; Juhan Nam (CoRR, 2024)

PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Text. - Hayeon Bang; Eunjin Choi; Megan Finch; Seungheon Doh; Seolhee Lee; Gyeong-Hoon Lee; Juhan Nam (CoRR, 2024)

Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models. - Seungheon Doh; Keunwoo Choi; Daeyong Kwon; Taesu Kim; Juhan Nam (CoRR, 2024)

Predicting User Intents and Musical Attributes from Music Discovery Conversations. - Daeyong Kwon; Seungheon Doh; Juhan Nam (CoRR, 2024)

CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages. - Shangda Wu; Zhancheng Guo; Ruibin Yuan; Junyan Jiang; Seungheon Doh; Gus Xia; Juhan Nam; Xiaobing Li; Feng Yu; Maosong Sun 001 (ACL (Findings), 2025)

TALKPLAY: Multimodal Music Recommendation with Large Language Models. - Seungheon Doh; Keunwoo Choi; Juhan Nam (CoRR, 2025)

Can Large Language Models Predict Audio Effects Parameters from Natural Language? - Seungheon Doh; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Juhan Nam; Yuki Mitsufuji (CoRR, 2025)

MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation. - Daeyong Kwon; Seungheon Doh; Juhan Nam (CoRR, 2025)