espnet2.gan_tts.melgan.pqmf.PQMF

source

class espnet2.gan_tts.melgan.pqmf.PQMF(subbands: int = 4, taps: int = 62, cutoff_ratio: float = 0.142, beta: float = 9.0)

Bases: Module

PQMF module.

This module is based on Near-perfect-reconstruction pseudo-QMF banks.

Initilize PQMF module.

The cutoff_ratio and beta parameters are optimized for #subbands = 4. See dicussion in https://github.com/kan-bayashi/ParallelWaveGAN/issues/195.

• Parameters:
  • subbands (int) – The number of subbands.
  • taps (int) – The number of filter taps.
  • cutoff_ratio (float) – Cut-off frequency ratio.
  • beta (float) – Beta coefficient for kaiser window.

analysis(x: Tensor) → Tensor

Analysis with PQMF.

• Parameters:x (Tensor) – Input tensor (B, 1, T).
• Returns: Output tensor (B, subbands, T // subbands).
• Return type: Tensor

synthesis(x: Tensor) → Tensor

Synthesis with PQMF.

• Parameters:x (Tensor) – Input tensor (B, subbands, T // subbands).
• Returns: Output tensor (B, 1, T).
• Return type: Tensor