| | |
| | | from funasr.models.specaug.abs_specaug import AbsSpecAug |
| | | from funasr.models.decoder.rnnt_decoder import RNNTDecoder |
| | | from funasr.models.decoder.abs_decoder import AbsDecoder as AbsAttDecoder |
| | | from funasr.models.encoder.conformer_encoder import ConformerChunkEncoder as Encoder |
| | | from funasr.models.encoder.abs_encoder import AbsEncoder |
| | | from funasr.models.joint_net.joint_network import JointNetwork |
| | | from funasr.modules.nets_utils import get_transducer_task_io |
| | | from funasr.layers.abs_normalize import AbsNormalize |
| | |
| | | frontend: Optional[AbsFrontend], |
| | | specaug: Optional[AbsSpecAug], |
| | | normalize: Optional[AbsNormalize], |
| | | encoder: Encoder, |
| | | encoder: AbsEncoder, |
| | | decoder: RNNTDecoder, |
| | | joint_network: JointNetwork, |
| | | att_decoder: Optional[AbsAttDecoder] = None, |
| | |
| | | feats, feats_lengths = self.normalize(feats, feats_lengths) |
| | | |
| | | # 4. Forward encoder |
| | | encoder_out, encoder_out_lens = self.encoder(feats, feats_lengths) |
| | | encoder_out, encoder_out_lens, _ = self.encoder(feats, feats_lengths) |
| | | |
| | | assert encoder_out.size(0) == speech.size(0), ( |
| | | encoder_out.size(), |
| | |
| | | frontend: Optional[AbsFrontend], |
| | | specaug: Optional[AbsSpecAug], |
| | | normalize: Optional[AbsNormalize], |
| | | encoder: Encoder, |
| | | encoder: AbsEncoder, |
| | | decoder: RNNTDecoder, |
| | | joint_network: JointNetwork, |
| | | att_decoder: Optional[AbsAttDecoder] = None, |