espnet2.gan_svs.post_frontend.s3prl.S3prlPostFrontend

source

class espnet2.gan_svs.post_frontend.s3prl.S3prlPostFrontend(fs: int | str = 16000, input_fs: int | str = 24000, postfrontend_conf: dict | None = {'badim': 320, 'bdropout_rate': 0.0, 'blayers': 3, 'bnmask': 2, 'bprojs': 320, 'btype': 'blstmp', 'bunits': 300, 'delay': 3, 'ref_channel': -1, 'taps': 5, 'use_beamformer': False, 'use_dnn_mask_for_wpe': True, 'use_wpe': False, 'wdropout_rate': 0.0, 'wlayers': 3, 'wprojs': 320, 'wtype': 'blstmp', 'wunits': 300}, download_dir: str | None = None, multilayer_feature: bool = False, layer: int = -1)

Bases: AbsFrontend

Pretrained SSL model for VISinger2 Plus. Based on S3prlFrontend, S3prlPostFrontend added a resampler to resample the input audio to the sample rate of the pretrained model.

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

forward(input: Tensor, input_lengths: Tensor) → 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.

output_size() → int

reload_pretrained_parameters()