Replication Data for: Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations

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. To 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. For more details on the calibration method and listening test procedure, please refer to our manuscript: B. 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 Proceedings of the 28th International Congress on Sound and Vibration, ICSV28, Singapore, 2022. A short explanation of the columns in the .csv file is as follows: calib_method: The method used to calibrate the stimulus for which the present row of responses was obtained (either HATS or OCV) participant_idx: 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. stimulus_idx: The index of the stimulus for which the present row of responses was obtained (integers from 1 to 27, inclusive). pleasant: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "pleasant". chaotic: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "chaotic" vibrant: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "vibrant" uneventful: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "uneventful" calm: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "calm" annoying: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "annoying" eventful: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "eventful" monotonous: The rating given by the participant for the present stimulus on a scale of 0 to 100 (inclusive) for the attribute "monotonous"本数据集收录了我们投稿至2022年国际声学与振动大会（International Congress on Sound and Vibration, ICSV）的论文"Assessment of a Cost-Effective Headphone Calibration Procedure for Soundscape Evaluations"中所有统计对比所用的数据，所有数据汇总于单个.csv文件中。为获取本数据集的数据，我们邀请了17名参与者，每名参与者需对27个声刺激样本进行两次评分：一次采用头身模拟器（head-and-torso simulator, HATS）校准方法，另一次采用开路电压（open-circuit voltage, OCV）校准方法。最终共得到17×27×2=918组数据样本，与该.csv文件的行数一一对应。如需了解校准方法与听辨实验流程的更多细节，请参阅我们的手稿：B. 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"，发表于第28届国际声学与振动大会（ICSV28）论文集，新加坡，2022年。该.csv文件各列的简要说明如下：calib_method：当前行评分对应的声刺激样本所采用的校准方法，可选值为HATS或OCV；participant_idx：提供当前行评分的参与者编号，每名参与者均分配有唯一编号。需注意，编号并非从1开始，这是因为我们剔除了在听辨过程中调整过音量（导致校准失效）的参与者数据，以及无法针对两种校准方法下的声刺激样本提供完整评分的参与者数据；stimulus_idx：当前行评分对应的声刺激样本编号，取值范围为1至27的整数（包含两端）；pleasant：参与者针对当前声刺激样本的“愉悦性”属性给出的评分，评分范围为0至100（包含两端）；chaotic：参与者针对当前声刺激样本的“混乱性”属性给出的评分，评分范围为0至100（包含两端）；vibrant：参与者针对当前声刺激样本的“活力性”属性给出的评分，评分范围为0至100（包含两端）；uneventful：参与者针对当前声刺激样本的“平淡性”属性给出的评分，评分范围为0至100（包含两端）；calm：参与者针对当前声刺激样本的“平静性”属性给出的评分，评分范围为0至100（包含两端）；annoying：参与者针对当前声刺激样本的“烦扰性”属性给出的评分，评分范围为0至100（包含两端）；eventful：参与者针对当前声刺激样本的“丰富性”属性给出的评分，评分范围为0至100（包含两端）；monotonous：参与者针对当前声刺激样本的“单调性”属性给出的评分，评分范围为0至100（包含两端）。