espnet2.svs.feats_extract.score_feats_extract.FrameScoreFeats

source

class espnet2.svs.feats_extract.score_feats_extract.FrameScoreFeats(fs: int | str = 22050, n_fft: int = 1024, win_length: int = 512, hop_length: int = 128, window: str = 'hann', center: bool = True)

Bases: AbsFeatsExtract

Initializes internal Module state, shared by both nn.Module and ScriptModule.

extra_repr()

Set the extra representation of the module

To print customized extra information, you should re-implement this method in your own modules. Both single-line and multi-line strings are acceptable.

forward(label: Tensor | None = None, label_lengths: Tensor | None = None, midi: Tensor | None = None, midi_lengths: Tensor | None = None, duration: Tensor | None = None, duration_lengths: Tensor | None = None) → Tuple[Tensor, Tensor, Tensor, Tensor, Tensor, Tensor]

FrameScoreFeats forward function.

• Parameters:
  • label – (Batch, Nsamples)
  • label_lengths – (Batch)
  • midi – (Batch, Nsamples)
  • midi_lengths – (Batch)
  • duration – (Batch, Nsamples)
  • duration_lengths – (Batch)
• Returns: (Batch, Frames)
• Return type: output

get_parameters() → Dict[str, Any]

label_aggregate(input: Tensor, input_lengths: Tensor | None = None) → Tuple[Tensor, Tensor | None]

lage_aggregate function.

• Parameters:
  • input – (Batch, Nsamples, Label_dim)
  • input_lengths – (Batch)
• Returns: (Batch, Frames, Label_dim)
• Return type: output

output_size() → int