{"url":"/dataset/replication-data-for-assessment-of-a-cost","name":"Replication Data for: Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations","full_name":null,"description_markdown":"This dataset contains the data used for all statistical comparisons in our ICSV 2022 submission \"Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations\", summarised in a single .csv file.\r\n<br><br>\r\nTo obtain the data in this dataset, 17 participants were invited to each rate 27 stimuli twice, once with the stimuli calibrated with a head-and-torso simulator (\"HATS method\") and once with the stimuli calibrated via an open-circuit voltage method (\"OCV method\"). This resulted in a total of 17*27*2 = 918 data samples, corresponding to the number of rows in the .csv file.\r\n<br><br>\r\nFor more details on the calibration method and listening test procedure, please refer to our manuscript:\r\n<br><br>\r\nB. Lam, K. Ooi, K.N. Watcharasupat, Y.-T. Lau, Z.-T. Ong, T. Wong, W.-S. Gan, \"Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations\", in <i>Proceedings of the 28th International Congress on Sound and Vibration</i>, ICSV28, Singapore, 2022.\r\n<br><br>\r\n\r\nA short explanation of the columns in the .csv file is as follows:\r\n<ul>\r\n<li><code>calib_method</code>: The method used to calibrate the stimulus for which the present row of responses was obtained (either <code>HATS</code> or <code>OCV</code>)</li>\r\n<li><code>participant_idx</code>: The index of the participant who provided the present row of responses. Each participant is assigned a unique index. In addition, indices do not start from 1 because we omitted data from participants who adjusted volume settings when listening to the stimuli (thus rendering the calibration invalid), as well as participants who were unable to provide a complete set of responses for stimuli calibrated using both calibration methods.</li>\r\n<li><code>stimulus_idx</code>: The index of the stimulus for which the present row of responses was obtained (integers from 1 to 27, inclusive).</li>\r\n<li><code>pleasant</code>: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute \"pleasant\".</li>\r\n<li><code>chaotic</code>: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute \"chaotic\"</li>\r\n<li><code>vibrant</code>: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute \"vibrant\"</li>\r\n<li><code>uneventful</code>: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute \"uneventful\"</li>\r\n<li><code>calm</code>: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute \"calm\"</li>\r\n<li><code>annoying</code>: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute \"annoying\"</li>\r\n<li><code>eventful</code>: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute \"eventful\"</li>\r\n<li><code>monotonous</code>: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute \"monotonous\"</li>\r\n</ul>","description_withheld":null,"homepage":"https://doi.org/10.21979/N9/AUE2LL","introduced_date":"2022-07-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/assessment-of-a-cost-effective-headphone","title":"Assessment of a cost-effective headphone calibration procedure for soundscape evaluations","first_author":"Bhan Lam","url":null},"license":{"name":"CC BY-NC 4.0","url":"http://creativecommons.org/licenses/by-nc/4.0"},"modalities":[],"tasks":[],"languages":[],"variants":["Replication Data for: Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}