Tra-la-lyrics 2.0: Automatic generation of song lyrics on a semantic domain

Cited by

Year 2020 : 2 citations

 Lampridis, O., Kefalas, A., and Tzallas, P. (2020). Greek lyrics generation. Artificial Intelligence Applications and Innovations, 584:445 – 454.

 Nishimura, A. and Itoh, T. (2020). Implementation and experiments for interactive lyrics transcreation system. Visual Computing for Industry, Biomedicine, and Art, 3(17).

Year 2019 : 2 citations

 Nishimura, A. and Itoh, T. (2019). Interactive lyric translation system: Implementation and experiments. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, CHI EA ’19, pages LBW1518:1–LBW1518:6, New York, NY, USA. ACM.

 Dias, D. S. and Fernando, T. G. I. (2019). Komposer – automated musical note generation based on lyrics with recurrent neural networks. In Proceedings of EEE First International Conference on Artificial Intelligence and Data Sciences (AiDAS), Malaysia.

Year 2018 : 6 citations

 Nishimura, A. and Itoh, T. (2018). Implementation of an interactive system for the translation of lyrics. In Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, IUI’18, pages 9:1–9:2, New York, NY, USA. ACM.

 Munigala, V., Mishra, A., Tamilselvam, S. G., Khare, S., Dasgupta, R., and Sankaran, A. (2018). PersuAIDE ! an adaptive persuasive text generation system for fashion domain. In Companion of the The Web Conference 2018 on The Web Conference 2018, WWW ’18, pages 335– 342, Republic and Canton of Geneva, Switzerland. International World Wide Web Conferences Steering Committee.

 Davies, C., Wiratunga, N., and Martin, K. (2018). Gramerror: A quality metric for machine generated songs. In Proceedings of 38th SGAI International Conference on Artificial Intelligence, volume 11311 of Lecture Notes in Computer Science, pages 184–190. Springer.

 Singh, D. (2018). Automated lyrical narrative writing. Master’s thesis, San Jose State University.

 Lamb, C. E. (2018). TwitSong: A current events computer poet and the thorny problem of assessment. PhD thesis, University of Waterloo, Ontario, Canada.

 Watanabe, K., Matsubayashi, Y., Fukayama, S., Goto, M., Inui, K., and Nakano, T. (2018). A melody-conditioned lyrics language model. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 163–172. ACL Press.

Year 2017 : 6 citations

 Singh, D., Ackerman, M., and Prez, R. P. Y. (2017). A ballad of the Mexicas: Automated lyrical narrative writing. In Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Atlanta, Georgia, USA.

 Bay, B., Bodily, P., and Ventura, D. (2017). Creative text transformation via constraints and word embedding. In Proceedings of the 8th International Conference on Computational Creativity, ICCC 2017, Atlanta, Georgia, USA.

 Ackerman, M. and Loker, D. (2017). Algorithmic songwriting with ALYSIA. In
Proceedings of International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART), volume 10198 of LNCS. Springer.

 Bodily, P. (2017). Human-level concept learning for musical metacreativity in lyrical sectional- form symbolic music. In Proceedings of the Doctoral Consortium of the International Conference on Computational Creativity (DC@ICCC17), Atlanta, Georgia, USA.

 Watanabe, K., Matsubayashi, Y., Inui, K., Nakano, T., Fukayama, S., and Goto, M. (2017). Lyrisys: An interactive support system for writing lyrics based on topic transition. In Proceedings of the 22nd International Conference on Intelligent User Interfaces, IUI ’17, pages 559–563, New York, NY, USA. ACM.

 Lamb, C., Brown, D. G., and Clarke, C. L. (2017). A taxonomy of generative poetry techniques. Journal of Mathematics and the Arts, 11(3):159–179.