Speech Enhancement Using Convolutional Denoising Autoencoder

  title={Speech Enhancement Using Convolutional Denoising Autoencoder},
  author={Shaikh Akib Shahriyar and M. A. H. Akhand and Nazmul Siddique and Tetsuya Shimamura},
  journal={2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)},
  • S. A. Shahriyar, M. Akhand, T. Shimamura
  • Published 1 February 2019
  • Computer Science
  • 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)
Speech signals are complex in nature with respect to other forms of communication media such as text or image. Different forms of noises (e.g., additive noise, channel noise, babble noise) interfere with the speech signals and drastically hamper the quality of the speech in the noisy speech signals. Enhancement of speech signals is a daunting task considering multiple forms of noises while denoising speech signals. Certain analog noise eliminator models have been studied over the years for this… 

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