OVERVIEW

My 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

Wood, A. L., Kirby, K. R., Ember, C., Silbert, S., Daikoku, H., Mcbride, J., … Savage, P. E. (2021, May 13). The Global Jukebox: A public database of performing arts and culture. https://doi.org/10.31234/osf.io/4z97j

Daikoku, H., Wood, A. L. C., & Savage, P. E. (2021). Musical diversity in India: A preliminary computational study using Cantometrics. Keio SFC Journal, 20(2), 34–61. https://gakkai.sfc.keio.ac.jp/journal/en/210325e.html

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.
https://psyarxiv.com/76fmq/

Shenghao, D., Daikoku, H., Sanne, U. S., Kinoshita, M., Konno, R., Kitayama, Y., ... & Savage, P. E. Late-Breaking/Demo.

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.