TY - GEN
T1 - LyriSys
T2 - 22nd International Conference on Intelligent User Interfaces, IUI 2017
AU - Watanabe, Kento
AU - Matsubayashi, Yuichiroh
AU - Inui, Kentaro
AU - Nakano, Tomoyasu
AU - Fukayama, Satoru
AU - Goto, Masataka
PY - 2017/3/7
Y1 - 2017/3/7
N2 - This paper presents LyriSys, a novel lyric-writing support system. Previous systems for lyric writing can fully automatically only generate a single line of lyrics that satisfies given constraints on accent and syllable patterns or an entire lyric. In contrast to such systems, LyriSys allows users to create and revise their work incrementally in a trial-And-error manner. Through fine-grained interactions with the system, the user can create the specifications of the musical structure and the story of the lyrics in terms of the verse-bridge-chorus structure, the number of lines, words and syllables, and most importantly, the transition over semantic topics such as hscenei, hdarki and hsweet lovei. This paper provides an overview of the design of the system and its user interface and describes how the writing process is guided by a state-of-The-Art probabilistic generative topic model that is trained without supervision. The system works for both Japanese and English.
AB - This paper presents LyriSys, a novel lyric-writing support system. Previous systems for lyric writing can fully automatically only generate a single line of lyrics that satisfies given constraints on accent and syllable patterns or an entire lyric. In contrast to such systems, LyriSys allows users to create and revise their work incrementally in a trial-And-error manner. Through fine-grained interactions with the system, the user can create the specifications of the musical structure and the story of the lyrics in terms of the verse-bridge-chorus structure, the number of lines, words and syllables, and most importantly, the transition over semantic topics such as hscenei, hdarki and hsweet lovei. This paper provides an overview of the design of the system and its user interface and describes how the writing process is guided by a state-of-The-Art probabilistic generative topic model that is trained without supervision. The system works for both Japanese and English.
KW - Computational creativity
KW - Linguistic creativity
KW - Semantic
KW - Song lyrics
KW - Topic transition
UR - http://www.scopus.com/inward/record.url?scp=85016474605&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016474605&partnerID=8YFLogxK
U2 - 10.1145/3025171.3025194
DO - 10.1145/3025171.3025194
M3 - Conference contribution
AN - SCOPUS:85016474605
T3 - International Conference on Intelligent User Interfaces, Proceedings IUI
SP - 559
EP - 563
BT - IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces
PB - Association for Computing Machinery
Y2 - 13 March 2017 through 16 March 2017
ER -