espnet2.tts.feats_extract.dio.Dio

source

class espnet2.tts.feats_extract.dio.Dio(fs: int | str = 22050, n_fft: int = 1024, hop_length: int = 256, f0min: int = 80, f0max: int = 400, use_token_averaged_f0: bool = True, use_continuous_f0: bool = True, use_log_f0: bool = True, reduction_factor: int_or_none | None = None)

Bases: AbsFeatsExtract

F0 estimation with dio + stonemask algorithm.

This is f0 extractor based on dio + stonmask algorithm introduced in WORLD: a vocoder-based high-quality speech synthesis system for real-time applications.

NOTE

This module is based on NumPy implementation. Therefore, the computational graph is not connected.

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

forward(input: Tensor, input_lengths: Tensor | None = None, feats_lengths: Tensor | None = None, durations: Tensor | None = None, durations_lengths: Tensor | None = None) → Tuple[Tensor, Tensor]

Defines the computation performed at every call.

Should be overridden by all subclasses.

NOTE

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

get_parameters() → Dict[str, Any]

output_size() → int