espnet2.enh.layers.beamformer_th.get_covariances

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espnet2.enh.layers.beamformer_th.get_covariances(Y: Tensor, inverse_power: Tensor, bdelay: int, btaps: int, get_vector: bool = False) → Tensor

Calculates the power normalized spatio-temporal covariance : matrix of the framed signal.

• Parameters:
  • Y – Complex STFT signal with shape (B, F, C, T)
  • inverse_power – Weighting factor with shape (B, F, T)
• Returns: (B, F, (btaps+1) * C, (btaps+1) * C) Correlation vector: (B, F, btaps + 1, C, C)
• Return type: Correlation matrix