|
from funasr.models.normalize.global_mvn import GlobalMVN
|
from funasr.models.normalize.utterance_mvn import UtteranceMVN
|
from funasr.models.ctc.ctc import CTC
|
|
from funasr.models.transducer.rnn_decoder import RNNDecoder
|
from funasr.models.sanm.sanm_decoder import ParaformerSANMDecoder, FsmnDecoderSCAMAOpt
|
from funasr.models.transformer.transformer_decoder import (
|
DynamicConvolution2DTransformerDecoder, # noqa: H301
|
)
|
from funasr.models.transformer.transformer_decoder import DynamicConvolutionTransformerDecoder
|
from funasr.models.transformer.transformer_decoder import (
|
LightweightConvolution2DTransformerDecoder, # noqa: H301
|
)
|
from funasr.models.transformer.transformer_decoder import (
|
LightweightConvolutionTransformerDecoder, # noqa: H301
|
)
|
from funasr.models.transformer.transformer_decoder import ParaformerDecoderSAN
|
from funasr.models.transformer.transformer_decoder import TransformerDecoder
|
from funasr.models.paraformer.contextual_decoder import ContextualParaformerDecoder
|
from funasr.models.transformer.transformer_decoder import SAAsrTransformerDecoder
|
|
from funasr.models.transducer.rnnt_decoder import RNNTDecoder
|
from funasr.models.transducer.joint_network import JointNetwork
|
|
|
from funasr.models.conformer.conformer_encoder import ConformerEncoder, ConformerChunkEncoder
|
from funasr.models.data2vec.data2vec_encoder import Data2VecEncoder
|
from funasr.models.transducer.rnn_encoder import RNNEncoder
|
from funasr.models.sanm.sanm_encoder import SANMEncoder, SANMEncoderChunkOpt
|
from funasr.models.transformer.transformer_encoder import TransformerEncoder
|
from funasr.models.branchformer.branchformer_encoder import BranchformerEncoder
|
from funasr.models.e_branchformer.e_branchformer_encoder import EBranchformerEncoder
|
from funasr.models.mfcca.mfcca_encoder import MFCCAEncoder
|
from funasr.models.sond.encoder.resnet34_encoder import ResNet34Diar
|
from funasr.models.frontend.abs_frontend import AbsFrontend
|
from funasr.models.frontend.default import DefaultFrontend
|
from funasr.models.frontend.default import MultiChannelFrontend
|
from funasr.models.frontend.fused import FusedFrontends
|
from funasr.models.frontend.s3prl import S3prlFrontend
|
from funasr.models.frontend.wav_frontend import WavFrontend
|
from funasr.models.frontend.windowing import SlidingWindow
|
|
|
from funasr.models.paraformer.cif_predictor import CifPredictor, CifPredictorV2, CifPredictorV3, BATPredictor
|
from funasr.models.specaug.specaug import SpecAug
|
from funasr.models.specaug.specaug import SpecAugLFR
|
from funasr.models.transformer.subsampling import Conv1dSubsampling
|
from funasr.utils.class_choices import ClassChoices
|
from funasr.models.fsmn_vad.fsmn_encoder import FSMN
|
|
from funasr.models.sond.encoder.ecapa_tdnn_encoder import ECAPA_TDNN
|
from funasr.models.sond.encoder.conv_encoder import ConvEncoder
|
from funasr.models.sond.encoder.fsmn_encoder import FsmnEncoder
|
from funasr.models.sond.encoder.resnet34_encoder import ResNet34Diar, ResNet34SpL2RegDiar
|
|
from funasr.models.sond.encoder.conv_encoder import ConvEncoder
|
from funasr.models.sond.encoder.fsmn_encoder import FsmnEncoder
|
from funasr.models.eend.encoder_decoder_attractor import EncoderDecoderAttractor
|
from funasr.models.eend.encoder import EENDOLATransformerEncoder
|
|
frontend_choices = ClassChoices(
|
name="frontend",
|
classes=dict(
|
default=DefaultFrontend,
|
sliding_window=SlidingWindow,
|
s3prl=S3prlFrontend,
|
fused=FusedFrontends,
|
wav_frontend=WavFrontend,
|
multichannelfrontend=MultiChannelFrontend,
|
),
|
default="default",
|
)
|
specaug_choices = ClassChoices(
|
name="specaug",
|
classes=dict(
|
specaug=SpecAug,
|
specaug_lfr=SpecAugLFR,
|
),
|
default=None,
|
)
|
normalize_choices = ClassChoices(
|
"normalize",
|
classes=dict(
|
global_mvn=GlobalMVN,
|
utterance_mvn=UtteranceMVN,
|
),
|
default=None,
|
)
|
|
encoder_choices = ClassChoices(
|
"encoder",
|
classes=dict(
|
conformer=ConformerEncoder,
|
transformer=TransformerEncoder,
|
rnn=RNNEncoder,
|
sanm=SANMEncoder,
|
sanm_chunk_opt=SANMEncoderChunkOpt,
|
data2vec_encoder=Data2VecEncoder,
|
mfcca_enc=MFCCAEncoder,
|
chunk_conformer=ConformerChunkEncoder,
|
fsmn=FSMN,
|
branchformer=BranchformerEncoder,
|
e_branchformer=EBranchformerEncoder,
|
resnet34=ResNet34Diar,
|
resnet34_sp_l2reg=ResNet34SpL2RegDiar,
|
ecapa_tdnn=ECAPA_TDNN,
|
eend_ola_transformer=EENDOLATransformerEncoder,
|
conv=ConvEncoder,
|
resnet34_diar=ResNet34Diar,
|
),
|
default="rnn",
|
)
|
|
|
decoder_choices = ClassChoices(
|
"decoder",
|
classes=dict(
|
transformer=TransformerDecoder,
|
lightweight_conv=LightweightConvolutionTransformerDecoder,
|
lightweight_conv2d=LightweightConvolution2DTransformerDecoder,
|
dynamic_conv=DynamicConvolutionTransformerDecoder,
|
dynamic_conv2d=DynamicConvolution2DTransformerDecoder,
|
rnn=RNNDecoder,
|
fsmn_scama_opt=FsmnDecoderSCAMAOpt,
|
paraformer_decoder_sanm=ParaformerSANMDecoder,
|
paraformer_decoder_san=ParaformerDecoderSAN,
|
contextual_paraformer_decoder=ContextualParaformerDecoder,
|
sa_decoder=SAAsrTransformerDecoder,
|
rnnt=RNNTDecoder,
|
),
|
default="transformer",
|
)
|
|
|
joint_network_choices = ClassChoices(
|
name="joint_network",
|
classes=dict(
|
joint_network=JointNetwork,
|
),
|
default="joint_network",
|
)
|
|
predictor_choices = ClassChoices(
|
name="predictor",
|
classes=dict(
|
cif_predictor=CifPredictor,
|
ctc_predictor=None,
|
cif_predictor_v2=CifPredictorV2,
|
cif_predictor_v3=CifPredictorV3,
|
bat_predictor=BATPredictor,
|
),
|
default="cif_predictor",
|
)
|
|
stride_conv_choices = ClassChoices(
|
name="stride_conv",
|
classes=dict(
|
stride_conv1d=Conv1dSubsampling
|
),
|
default="stride_conv1d",
|
)
|
