Abstract
In this study an auditory model which predicts psychoacoustic data was applied to the problem of perceptual similarity between piano sounds. The sounds correspond to loudness-balanced recordings of one note played on seven historical pianos that differ in timbre. The similarity between sound pairs was quantified using a 3-AFC discrimination task. To model perceptual similarity, two expected signals were included in the decision stage of an existing auditory model. The simulations were maximally correlated with experimental data when only the initial part of the sounds (0.2 s) was used as input to the model.
Highlights
In the context of acoustics, similarity assessments are used in sound quality evaluations [1] and in the study of specific sound types [2], among other applications
Summary In this study an auditory model which predicts psychoacoustic data was applied to the problem of perceptual similarity between piano sounds
The sounds correspond to loudness-balanced recordings of one note played on seven historical pianos that differ in timbre
Summary
In the context of acoustics, similarity assessments are used in sound quality evaluations [1] and in the study of specific sound types [2], among other applications. The similarity between objects is normally assessed experimentally. The goal is to relate the physical properties of the test stimuli to the dimensions of an abstract psychological space [3]. We proposed an alternative method that assesses the similarity between piano sounds by measuring discrimination thresholds in background noise as signal-to-noise ratios (SNRs) [5]. The focus of the current study is to model such similarity data in noise using an existing computational framework, which has been successfully used to simulate the results of several experimental tasks in noise [6, 7]
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