30 citations · 36 across the 6 of their papers we have counts for
6 papers
Toward Universal Text-to-Music Retrieval
SeungHeon Doh, Minz Won, Keunwoo Choi +1
This paper introduces effective design choices for text-to-music retrieval systems. An ideal text-based retrieval system would support various input queries such as pre-defined tag…
Hi,KIA: A Speech Emotion Recognition Dataset for Wake-Up Words
Taesu Kim, SeungHeon Doh, Gyunpyo Lee +3
Wake-up words (WUW) is a short sentence used to activate a speech recognition system to receive the user's speech input. WUW utterances include not only the lexical information for…
Music Playlist Title Generation: A Machine-Translation Approach
SeungHeon Doh, Junwon Lee, Juhan Nam
We propose a machine-translation approach to automatically generate a playlist title from a set of music tracks. We take a sequence of track IDs as input and a sequence of words in…
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation
Hsiao-Tzu Hung, Joann Ching, Seungheon Doh +3
While there are many music datasets with emotion labels in the literature, they cannot be used for research on symbolic-domain music analysis or generation, as there are usually au…
TräumerAI: Dreaming Music with StyleGAN
Dasaem Jeong, Seungheon Doh, Taegyun Kwon
The goal of this paper to generate a visually appealing video that responds to music with a neural network so that each frame of the video reflects the musical characteristics of t…
Musical Word Embedding: Bridging the Gap between Listening Contexts and Music
Seungheon Doh, Jongpil Lee, Tae Hong Park +1
Word embedding pioneered by Mikolov et al. is a staple technique for word representations in natural language processing (NLP) research which has also found popularity in music inf…