nnAudio.utilsΒΆ
Module containing helper functions such as overlap sum and Fourier kernels generators
Functions
Auto broadcast input so that it can fits into a Conv1d |
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Auto broadcast input so that it can fits into a Conv2d |
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Since PyTorch does not support complex numbers and its operation. |
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Automatically create CQT kernels in time domain |
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This function creates the Fourier Kernel for STFT, Melspectrogram and CQT. |
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Calculate the highest frequency we need to preserve and the lowest frequency we allow to pass through. |
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A helper function that downsamples the audio by half. |
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A helper function that downsamples the audio by a arbitary factor n. |
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Return new sampling rate and hop length after early dowansampling |
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Compute the number of early downsampling operations |
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Extending the number of frequency bins from n_fft//2+1 back to n_fft by reversing all bins except DC and Nyquist and append it on top of existing spectrogram |
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Multiplying the STFT result with the cqt_kernel, check out the 1992 CQT paper [1] for how to multiple the STFT result with the CQT kernel [2] Brown, Judith C.C. |
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Multiplying the STFT result with the cqt_kernel, check out the 1992 CQT paper [1] for how to multiple the STFT result with the CQT kernel [2] Brown, Judith C.C. |
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Used in CQT2010 and CQT2010v2 |
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A helper function to calculate the next nearest number to the power of 2. |
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A helper function to calculate the next nearest number to the power of 2. |
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