no code implementations • 26 Aug 2023 • Haven Kim, Kento Watanabe, Masataka Goto, Juhan Nam
Lyric translation plays a pivotal role in amplifying the global resonance of music, bridging cultural divides, and fostering universal connections.
1 code implementation • IEEE/ACM Transactions on Audio, Speech, and Language Processing 2022 • Hiromu Yakura, Kento Watanabe, Masataka Goto
To acquire robust representations in an unsupervised manner, regular self-supervised contrastive learning trains neural networks to make the feature representation of a sample close to those of its computationally transformed versions.
no code implementations • 27 Sep 2018 • Ran Tian, Yash Agrawal, Kento Watanabe, Hiroya Takamura
Word embeddings are known to boost performance of many NLP tasks such as text classification, meanwhile they can be enhanced by labels at the document level to capture nuanced meaning such as sentiment and topic.
1 code implementation • NAACL 2018 • Kento Watanabe, Yuichiroh Matsubayashi, Satoru Fukayama, Masataka Goto, Kentaro Inui, Tomoyasu Nakano
This paper presents a novel, data-driven language model that produces entire lyrics for a given input melody.
no code implementations • ACL 2018 • Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui
This paper presents the first study aimed at capturing stylistic similarity between words in an unsupervised manner.
no code implementations • COLING 2016 • Kento Watanabe, Yuichiroh Matsubayashi, Naho Orita, Naoaki Okazaki, Kentaro Inui, Satoru Fukayama, Tomoyasu Nakano, Jordan Smith, Masataka Goto
This study proposes a computational model of the discourse segments in lyrics to understand and to model the structure of lyrics.