OVERVIEW

When I joined Patrick Savage's Comp Music Lab, our research started off with comparing the performance of automated algorithms against humans for cross-cultural music similarity. I worked on some analysis of diversity in Indian music and I'm currently working on the global jukebox project.

I mostly use R, Python and write my code in Jupyter Notebooks. I'm good at plotting data, cleaning data, performing dimensionality reduction, some basic DSP, and implementing  simple machine learning models.

Related fields: Ethnomusicology, MIR, Music Perception, Evolution, Cross-cultural, Musicology.

PUBLICATIONS

Daikoku, H., Ding, S., Sanne, U. S., Benetos, E., Wood, A. L., Fujii, S., & Savage, P. E. (2020). Human and automated judgements of musical similarity in a global sample. PsyArXiv Preprint.

Daikoku, H., Kinoshita, M., Fujii, S., & Savage, P. E. (2018). Human vs. automated judgements of cross-cultural musical similarity.

Wood, Anna L. C., Kirby, K. R., Ember, C. R., Silbert, S., Passmore, S., Daikoku, H., … Others. (2022). The Global Jukebox: A public database of performing arts and culture. PloS One, 17(11), e0275469.

Savage, P. E., Jacoby, N., Margulis, E. H., Daikoku, H., Anglada-Tort, M., Castelo-Branco, S. E.-S., … Others. (2023). Building sustainable global collaborative networks: Recommendations from music studies and the social sciences. The Science-Music Borderlands.

Wood, A. L. C., Kirby, K. R., Ember, C. R., Silbert, S., Daikoku, H., McBride, J., … Others. (2021). The Global Jukebox: A public database of performing arts and culture. PsyArXiv preprint.

Daikoku, H. (2020). Musical diversity in India: A preliminary computational study using Cantometrics. Keio SFC Journal, 20(2), 34–61.

Passmore, S., Wood, A. L. C., Barbieri, C., Barbieri, C., Shilton, D., Daikoku, H., … Savage, P. E. (2022). Global relationships between musical, linguistic, and genetic diversity. PsyArXiv. [Google Scholar].

Daikoku, H., Ding, S., Benetos, E., Wood, A. L. C., Shimizono, T., Sanne, U. S., … Others. (2022). Agreement among human and automated estimates of similarity in a global music sample.

Daikoku, H., Shimozono, T., Fujii, S., Hegde, S., & Savage, P. E. (2023). Cross-cultural perception of musical similarity within and between India and Japan. Music & Science, 6, 20592043231207998.

Sauvé, S., Phillips, E., Schiefelbein, W., Daikoku, H., Hegde, S., Loui, P., & Moore, S. (2022). An ICMPC-ESCOM 2021 Workshop on Cross-cultural and Anti-colonial/imperial Research.

Passmore, S., Wood, A., Barbieri, C., Shilton, D., Daikoku, H., Atkinson, Q., & Savage, P. E. (2023). Independent histories underlie global musical, linguistic, and genetic diversity.

Sauvé, Sarah A., Phillips, E., Schiefelbein, W., Daikoku, H., Hegde, S., & Moore, S. (2023). Anti-colonial strategies in cross-cultural music science research. Music Perception: An Interdisciplinary Journal, 40(4), 277–292.

CONFERENCES, WORKSHOPS & INVITED TALKS

Wood, A. L. C., Kirby, K., Ember, C., Silbert, S., Daikoku, H., McBride, J., Savage, P. E. (2021). The Global Jukebox: An interactive database of the expressive arts and culture. Talk to be presented virtually at the International Conference on Music Perception and Cognition.

Daikoku, H., Ding, S., Benetos, E., Wood, A. L. C.; Fujii, S., Savage, P. E. (2021). Human and automated judgements of musical similarity in a global sample. Talk to be presented virtually at the International Conference on Music Perception and Cognition.

&Daikoku, H., &Shenghao, D., Sanne, U. S., Benetos, E., Wood, A. L. C., Fujii, S., & *Savage, P. E. (2020). Human and automated judgements of musical similarity in a global sample. Poster presented at the 16th annual McMaster NeuroMusic conference, McMaster University, Canada.


&Daikoku, H., &Shenghao, D., Sanne, U. S., Kinoshita, M., Konno, R., Kitayama, Y., Fujii, S., Savage, P. E. (2019). Human vs. automated judgements of similarity in a global music sample. Poster presented at the Digital Music Research Network One-day Workshop 2019 (DMRN+14), Queen Mary University of London, UK

Daikoku, H., Dixon, S., Pearce, M., Proutskova, P., Fujii, S., Kitayama, Y., Harrison, P., Ycart, A. Sato, S., Ho, M.-J., Benetos, E., Savage, P. E. (2019). An empirical investigation of cross-cultural musical aesthetics. Talk presented at the 2019 meeting of the International Council for Traditional Music, Chulalongkorn University, Bangkok, Thailand.

Daikoku, H., Kinoshita, M., Konno, R. Fujii, S., & Savage, P. E. (2018). Measuring music. Poster presented at the Keio University SFC Open Research Forum, Tokyo Midtown, Japan.

Daikoku, H., Kinoshita, M., Fujii, S., & Savage, P. E. (2018). Human vs. automated judgements of cross-cultural musical similarity. In Extended abstracts for the Late-Breaking Demo Session of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), Paris, France.

AWARDS, HONORS & SCHOLARSHIPS

GAO Scholarship. 2020-2021
Full tuition waiver given to top 3 graduate students.

Yamaha Full Ride Research Fund. 2020-2022.
Research expenses, limited travel, stipend,  and tuition.

University-wide Class Representative Graduate Class of 2020. 2020.
Commencement speaker.

Young Scholar's Fund ICTM. 2019.
Travel and accommodation to Bangkok given to top young scholars in Ethnomusicology.

Keio Shonan Fujisawa Academic Society Conference Travel Fund. 2018.
Travel and accommodation to Paris for ISMIR 2018.