DOI: 10.5281/zenodo.18715282
title: Soundscape Attributes Translation Project (SATP) Dataset

description: The data and audio included here were collected for the Soundscape Attributes Translation Project (SATP). First introduced in Aletta et. al. (2020), the SATP is an attempt to provide validated translations of soundscape attributes in languages other than English. The recordings were used for headphones - based listening experiments.

The data are provided to accompany publications resulting from this project and to provide a unique dataset of 1000s of perceptual responses to a standardised set of urban soundscape recordings. This dataset is the result of efforts from hundreds of researchers, students, assistants, PIs, and participants from institutions around the world. We have made an attempt to list every contributor to this Zenodo repo; if you feel you should be included, please get in touch.

Citation: If you use the SATP dataset or part of it, please cite our paper describing the data collection and this dataset itself.

Overview: The SATP dataset consists of 27 30-sec binaural audio recordings made in urban public spaces in London and one 60 sec stereo calibration signal.

The recordings were made at locations as reported in Table 1 of the README.md (Recording locations), at various times of day by an operator wearing a binaural kit consisting of BHS II microphones and a SQobold (HEAD acoustics) device. Recordings were then exported to WAV via the ArtemiS SUITE software, using the original dynamic range from HDF. The listening experiment and the calibration procedure were intended for a headphone playback system (Sennheiser HD650 or similar open-back headphones recommended). 

The recordings were selected from an initial set of 80 recordings through a pilot study to ensure the test set had an even coverage of the soundscape circumplex space. These recordings were sent to the partner institutions (see Table 2 of the README.md) and assessed by approximately 30 participants in the institution's target language. The questionnaire used in each assessment is a translation of Method A Questionnaire, ISO 12913-2:2018. Each institution carried out their own lab experiment to collect data, then submitted their data to the team at UCL to compile into a single dataset. Some institutions included additional questions or translation options; the combined dataset (`SATP Dataset v1.x.xlsx`) includes only the base set of questions, the extended set of questions from each institution is included in the `Institution Datasets` folder.

In all, SATP Dataset v1.5 contains 21,032 samples, including 779 participants, for 27 recordings, in 21 languages with contributions from 29 institutions.

Descriptions of the recordings, including GPS coordinates and sound sources, can be found in the README.md file.

License and reuse: All SATP recordings are provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) License and are free to use. We encourage other researchers to replicate the SATP protocol and contribute new languages to the dataset. We also encourage the use of these recordings and the perceptual data for further soundscape research purposes. Please provide the proper attribution and get in touch with the authors if you would like to contribute a new translation or for any other collaborations.
description: Recordings

Format: The audio recordings are provided as 24 bit, 48 kHz, stereo WAV files. The combined dataset and Institutional datasets are provided as long tidy data tables in .xlsx files.

Calibration: The recommended calibration approach was based on the open-circuit voltage (OCV) procedure which was considered most accessible but other calibration procedures are also possible (Lam et. al. (2022)). The provided calibration file is a computer generated sine wave at 1kHz, matching a sine wave recorded using the exact same setup at SPL of 94 dB. In case of the calibration signal playback level set to match SPL of 94 dB at the eardrum, all the 27 samples should be reproduced at realistic loudness. More details on OCV calibration procedure and other options you can find in Lam et. al. (2022) and the attached documentation. PLEASE DO NOT EXPOSE YOURSELF NOR THE PARTICIPANTS TO THE CALIBRATION SIGNAL SET AT THE REALISTIC LEVEL AS IT CAN CAUSE HARM.
description: CHANGELOG



2026-02-20 v1.5



Finalised the addition of v1.5rc1 institutions.

Added 'Dataset Checks' sheet which displays a general data quality check of the data from each institution.



2026-01-24 v1.5rc1



Produced new derandomized Brazil and Portugal data (USP & LNC) with script in colab notebook DatasetChecks_por.ipynb . Brazil/USP_satp_data_2026-01-24.csv ; Portugal/LNC_satp_data_2026-01-24

Excluded ULU Institution from por data, re DatasetChecks_por results.

Added yue data

Labelled ANER/HU institution as ANR

Added pol data: Poland/SATP_Polish_34_participants.xlsx


2023-10-24 v1.4



Replaced deu data to use circumplex optimized version


2023-10-23 v1.3



Added Portuguese por data

Added UACh spa data


2022-07-13 v1.2



Added Turkey data

Added Malaysia (Malay) Data

Added and check Arabic data

Added Institution codes for all datasets

Renamed the participant prefix to the Institution code


2022-03-15 v0.7



Added Japanese Data


2022-03-15 v0.



Indonesia data updated to correct out of range errors

Added Greece


2022-03-07 v0.5



Arabic data temporarily removed


2022-03-04 v0.5



Netherlands dataset added


2022-02-15 v0.3



Vietnam dataset added

Indonesia dataset added