This repository contains the survey's results collected in the paper "Perceived femininity in singing voice: analysis and prediction", accepted at CMMR 2025, London.
The audio segments used for the survey can be found and downloaded from STraDa. The segments used are the 1200 segments from the test set of STraDa.
This file contains information about the participants. The columns are:
- username: Unique user ID.
x_yrepresents the participant answered thex-th survey and was numbered as they-th participant of this survey. - female/male: Gender of the participant.
- english/french/mandarin/spanish/german:
1indicates the participant speaks this language,0means the opposite. - 0/20/35/50/65: Age range.
0represents 0-19,20represents 20-34,35represents 35-49, etc. - instruments: Indicates whether the participant plays an instrument or not.
This file contains the survey answers. The columns are:
- segment_name: Segment ID, corresponding to the ID used in the test set of STraDa.
- gender/age/language: Gender, age group, and language of the segment's singer. The age groups are divided the same as in
participant_info.csv. - x_y: The user ID, corresponding to the
usernameinparticipant_info.csv.
Empty bin means the participant knows the singer/song.
We reported 126 valid answers in the paper. However, I accidently deleted the answers of the participant 1_1, and could not recover it in any way :(
If you use this survey data, please cite:
@inproceedings{kong2025perceived,
title={Perceived femininity in singing voice: analysis and prediction},
author={Kong, Yuexuan and Tran, Viet-Anh and Hennequin, Romain},
booktitle={The 17th International Symposium on Computer Music Multidisciplinary Research (CMMR 2025)},
year={2025}
}