Source code for espnet2.enh.encoder.abs_encoder

from abc import ABC, abstractmethod
from typing import Tuple

import torch

[docs]class AbsEncoder(torch.nn.Module, ABC):
[docs] @abstractmethod def forward( self, input: torch.Tensor, ilens: torch.Tensor, fs: int = None, ) -> Tuple[torch.Tensor, torch.Tensor]: raise NotImplementedError
@property @abstractmethod def output_dim(self) -> int: raise NotImplementedError
[docs] def forward_streaming(self, input: torch.Tensor): raise NotImplementedError
[docs] def streaming_frame(self, audio: torch.Tensor): """streaming_frame. It splits the continuous audio into frame-level audio chunks in the streaming *simulation*. It is noted that this function takes the entire long audio as input for a streaming simulation. You may refer to this function to manage your streaming input buffer in a real streaming application. Args: audio: (B, T) Returns: chunked: List [(B, frame_size),] """ NotImplementedError