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A Speech Enhancement Method Using Fast Fourier Transform and Convolutional Autoencoder

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اقرأ أكثر حفظ في قائمتي
  • المؤلفون: Kow, Pu-Yun; Kow, Pu-Zhao
  • نوع التسجيلة:
    Electronic Resource
  • الدخول الالكتروني :
    http://arxiv.org/abs/2501.01650
  • معلومة اضافية
    • Publisher Information:
      2025-01-03 2025-10-03
    • نبذة مختصرة :
      This paper addresses the reconstruction of audio signals from degraded measurements. We propose a lightweight model that combines the discrete Fourier transform with a Convolutional Autoencoder (FFT-ConvAE), which enabled our team to achieve second place in the Helsinki Speech Challenge 2024. Our results, together with those of other teams, demonstrate the potential of neural-network-free approaches for effective speech signal reconstruction.
      The paper has been reorganized, and its title has been revised
    • الموضوع:
      Sound; Audio and Speech Processing; 68T07, 68T10, 68T20, 35R25, 35R30; text
    • الرقم المعرف:
      10.3934.ammc.2025013
    • Availability:
      Open access content. Open access content
    • Other Numbers:
      COO oai:arXiv.org:2501.01650
      doi:10.3934/ammc.2025013
      1504911985
    • Contributing Source:
      CORNELL UNIV
      From OAIster®, provided by the OCLC Cooperative.
    • الرقم المعرف:
      edsoai.on1504911985
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