相位截距失真不可感知，可用于音频数据增强
The Perception of Phase Intercept Distortion and its Application in Data Augmentation
- 用固定相移制造相位截距失真，改变波形但不被察觉
- 实验验证该失真不可感知，且能提升音频任务性能
- 适合音频机器学习研究者，尤其关注数据增强方法
相位失真指信号中频率间相位关系的改变，可能被人耳察觉。本文讨论一种特殊的相位失真——相位截距失真，其由频率无关的相位偏移产生。我们假设：尽管这种失真显著改变信号波形，但人耳无法感知。通过人机实验验证了该假设。此外，我们探讨了该不可感知特性在机器学习中的应用，特别是作为数据增强手段。在多个音频机器学习任务中，使用相位截距失真进行数据增强，均取得了性能提升。
原文摘要 · Abstract (English)
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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