连续的幅度估计和具有线长度的连续交叉模态匹配可以有效地跟踪行为实验中时变声音的瞬时响度。已知这些方法容易出现系统偏差,但可以使用它们的对应物检查一致性。规模生产。因此,在实验1中,我们对时变声音进行了这样的评估。二十名参与者通过连续调整线条的长度来进行连续的跨模态匹配,以评估十四首歌曲的瞬时响度。在实验2中,每个摘录的所得时间线长度曲线与给定歌曲一起像视频一样回放,并且要求参与者连续调节音量以匹配瞬时线长度。记录的时间线长度轮廓,然而,对于持续时间在7到12s之间的段,由0.5到2之间的八个因子进行操纵,根据史蒂文斯的响度幂律,对应于-10、-6、-3、-1、1、3、6和10dB的调整水平的预期差异。变化开始后5s的平均调整为-3.3、-2.4、-1.0、-0.2、0.2、1.4、2.4和4.4dB。由于回归效应,比幂律预测的调整更小,与史蒂文斯和同事的量级生产结果一致。“线路长度的连续交叉模态匹配与当前响度模型一致,通过跨模态生产的一致性检查,证明了该方法适用于跟踪时变声音的瞬时响度。
Continuous magnitude estimation and continuous cross-modality matching with line length can efficiently track the momentary loudness of time-varying sounds in behavioural experiments. These methods are known to be prone to systematic biases but may be checked for consistency using their counterpart, magnitude production. Thus, in Experiment 1, we performed such an evaluation for time-varying sounds. Twenty participants produced continuous cross-modality matches to assess the momentary loudness of fourteen songs by continuously adjusting the length of a line. In Experiment 2, the resulting temporal line length profile for each excerpt was played back like a video together with the given song and participants were asked to continuously adjust the volume to match the momentary line length. The recorded temporal line length profile, however, was manipulated for segments with durations between 7 to 12 s by eight factors between 0.5 and 2, corresponding to expected differences in adjusted level of -10, -6, -3, -1, 1, 3, 6, and 10 dB according to Stevens\'s power law for loudness. The average adjustments 5 s after the onset of the change were -3.3, -2.4, -1.0, -0.2, 0.2, 1.4, 2.4, and 4.4 dB. Smaller adjustments than predicted by the power law are in line with magnitude-production results by Stevens and co-workers due to \"regression effects.\" Continuous cross-modality matches of line length turned out to be consistent with current loudness models, and by passing the consistency check with cross-modal productions, demonstrate that the method is suited to track the momentary loudness of time-varying sounds.