mlsanityData to 14 Oct 2026

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

arXiv 2506.14571 ↗First posted 17 Jun 2025eess.SP cs.LG eess.AScited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 48 references that are in the map. First posted on arXiv 17 Jun 2025.

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References · 14

  1. 2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shiftcited by 7,005
  2. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,905
  3. 2018Speech Commands: A Dataset for Limited-Vocabulary Speech Recognitioncited by 752
  4. 2021AST: Audio Spectrogram Transformercited by 643
  5. 2018SDR - half-baked or well done?cited by 423
  6. 2022Hybrid Transformers for Music Source Separationcited by 134
  7. 2018Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separationcited by 125
  8. 2019Music Source Separation in the Waveform Domaincited by 99
  9. 2021Hybrid Spectrogram and Waveform Source Separationcited by 91
  10. 2019Data augmentation approaches for improving animal audio classificationcited by 31
  11. 2022Improving Source Separation by Explicitly Modeling Dependencies Between Sourcescited by 8
  12. 2024A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stemscited by 7
2 more
  1. 2022Wideband Audio Waveform Evaluation Networks: Efficient, Accurate Estimation of Speech Qualitiescited by 2
  2. 2025Sanidha: A Studio Quality Multi-Modal Dataset for Carnatic Musiccited by 2

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