• Corpus ID: 39821732

Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks

@article{Huzaifah2017ComparisonOT,
  title={Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks},
  author={Muhammad Huzaifah},
  journal={ArXiv},
  year={2017},
  volume={abs/1706.07156}
}
Recent successful applications of convolutional neural networks (CNNs) to audio classification and speech recognition have motivated the search for better input representations for more efficient training. [] Key Result Additionally, we observe that the optimal window size during transformation is dependent on the characteristics of the audio signal and architecturally, 2D convolution yielded better results in most cases compared to 1D.

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