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arXiv · 2506.14571

The Perception of Phase Intercept Distortion and its Application in Data Augmentation

Venkatakrishnan Vaidyanathapuram Krishnan·Nathaniel Condit-Schultz
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Abstract

Phase distortion refers to the alteration of the phase relationships between frequencies in a signal, which can be perceptible. In this paper, we discuss a special case of phase distortion known as phase-intercept distortion, which is created by a frequency-independent phase shift. We hypothesize that, though this form of distortion changes a signal's waveform significantly, the distortion is imperceptible. Human-subject experiment results are reported which are consistent with this hypothesis. Furthermore, we discuss how the imperceptibility of phase-intercept distortion can be useful for machine learning, specifically for data augmentation. We conducted multiple experiments using phase-intercept distortion as a novel approach to data augmentation, and obtained improved results for audio machine learning tasks.

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Venkatakrishnan Vaidyanathapuram Krishnan, Nathaniel Condit-Schultz. 2025-06-17. The Perception of Phase Intercept Distortion and its Application in Data Augmentation. https://doi.org/10.1109/waspaa66052.2025.11231010

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