Seungheon Doh

According to our database1, Seungheon Doh authored at least 17 papers between 2020 and 2024.

Collaborative distances:

Timeline

2020
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2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Predicting User Intents and Musical Attributes from Music Discovery Conversations.
CoRR, 2024

Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models.
CoRR, 2024

PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Text.
CoRR, 2024

Musical Word Embedding for Music Tagging and Retrieval.
CoRR, 2024

Music Discovery Dialogue Generation Using Human Intent Analysis and Large Language Models.
Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

Enriching Music Descriptions with A Finetuned-LLM and Metadata for Text-to-Music Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
The Song Describer Dataset: a Corpus of Audio Captions for Music-and-Language Evaluation.
CoRR, 2023

Music Playlist Title Generation Using Artist Information.
CoRR, 2023

LP-MusicCaps: LLM-Based Pseudo Music Captioning.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Toward Universal Text-To-Music Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2023

Textless Speech-to-Music Retrieval Using Emotion Similarity.
Proceedings of the IEEE International Conference on Acoustics, 2023

Annotator Subjectivity in the MusicCaps Dataset.
Proceedings of the 2nd Workshop on Human-Centric Music Information Retrieval 2023 co-located with the 24th International Society for Music Information Retrieval Conference (ISMIR 2023), 2023

2022
Hi, KIA: A Speech Emotion Recognition Dataset for Wake-Up Words.
CoRR, 2022

2021
Music Playlist Title Generation: A Machine-Translation Approach.
CoRR, 2021

TräumerAI: Dreaming Music with StyleGAN.
CoRR, 2021

EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music.
CoRR, 2020


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