Add rtf_evd method to torchaudio.functional #2230
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mthrok
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Feb 16, 2022
mthrok
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We should have a test against some reference, so that when the implementation is changed, we know it produces similar values from the original implementation.
If it is hard to hand-compute reference values, we can use NumPy, so that implementation won't change.
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Summary: This PR adds `rtf_evd` method to `torchaudio.functional`. The method computes the relative transfer function (RTF) or the steering vector by eigenvalue decomposition. The input argument is the power spectral density (PSD) matrix of the target speech. Pull Request resolved: pytorch#2230 Reviewed By: mthrok Differential Revision: D34474188 Pulled By: nateanl fbshipit-source-id: cbd8c883d7a4576c5e735334a470ae3016126f8d
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Summary: This PR adds `rtf_evd` method to `torchaudio.functional`. The method computes the relative transfer function (RTF) or the steering vector by eigenvalue decomposition. The input argument is the power spectral density (PSD) matrix of the target speech. Pull Request resolved: pytorch#2230 Reviewed By: mthrok Differential Revision: D34474188 Pulled By: nateanl fbshipit-source-id: 888df4b187608ed3c2b7271b34d2231cdabb0134
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This PR adds
rtf_evdmethod totorchaudio.functional.The method computes the relative transfer function (RTF) or the steering vector by eigenvalue decomposition.
The input argument is the power spectral density (PSD) matrix of the target speech.