funasr/models/e2e_vad.py
@@ -5,6 +5,7 @@ from torch import nn import math from funasr.models.encoder.fsmn_encoder import FSMN from funasr.models.base_model import FunASRModel class VadStateMachine(Enum): @@ -211,7 +212,7 @@ return int(self.frame_size_ms) class E2EVadModel(nn.Module): class E2EVadModel(FunASRModel): """ Author: Speech Lab of DAMO Academy, Alibaba Group Deep-FSMN for Large Vocabulary Continuous Speech Recognition
