HITPREDICT: PREDICTING HIT SONGS USING SPOTIFY DATA E Georgieva, M Suta, N Burton Paper and Poster session for Stanford CS 229: Machine Learning, 2018 | 12 | 2018 |
Instrument Design for The Furies: A LaptOpera A Hege, C Noufi, E Georgieva, G Wang New Interfaces for Musical Expression (NIME) 2021, 2021 | 3 | 2021 |
TOTAL VARIATION IN VOCALS OVER TIME E Georgieva, P Ripollés, B McFee Demo Session at 2023 IEEE Workshop on Applications of Signal Processing to …, 2023 | 1 | 2023 |
The Furies: A Laptopera- "Glorious Guilt" A Hege, C Noufi, E Georgieva, G Wang International Conference on New Interfaces for Musical Expression 2021, 2021 | 1 | 2021 |
Total variation in popular rap vocals from 2009-2023: extension of the analysis by Georgieva, Ripolles & McFee KL Walls, IR Roman, B Steers, E Georgieva arXiv preprint arXiv:2312.14036, 2023 | | 2023 |
The Furies: A Laptopera - “Don’t Sh Stop Please” A Hege, C Noufi, E Georgieva, G Wang NIME 2022, 2022 | | 2022 |
An Evaluation Tool for Subjective Evaluation of Amateur Vocal Performances of “Amazing Grace” E Georgieva, C Noufi, V Rangasayee, B Kaneshiro, J Berger In Extended Abstracts for the Late-Breaking Demo Session of the 21st …, 2020 | | 2020 |
HitPredict: Using Spotify Data to Predict Billboard Hits E Georgieva, M Suta, N Burton Machine Learning for Music Discovery Workshop at the International …, 2020 | | 2020 |
Characterizing Musical Correlates of Large-Scale Discovery Behavior B Kaneshiro, B Frisbie, E Georgieva, DPW Ellis Machine Learning for Music Discovery Workshop at the International …, 2019 | | 2019 |
IMPACT OF FAMILIARITY ON MUSIC PREFERENCE DURING SIMULATED COCHLEAR-IMPLANT LISTENING E Georgieva, B Kaneshiro In Extended Abstracts for the Late-Breaking Demo Session of the 19th …, 2018 | | 2018 |