most citednnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.SD2019★ 4 cited

nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks

Kin Wai Cheuk, Hans Anderson, Kat Agres +1

Converting time domain waveforms to frequency domain spectrograms is typically considered to be a prepossessing step done before model training. This approach, however, has several…