From b15db52e4e67da8a133a67e8ffa415386de48b40 Mon Sep 17 00:00:00 2001
From: zhuyunfeng <10596244@qq.com>
Date: 星期二, 09 五月 2023 23:03:15 +0800
Subject: [PATCH] Add contributor
---
funasr/tasks/asr.py | 5 +++--
1 files changed, 3 insertions(+), 2 deletions(-)
diff --git a/funasr/tasks/asr.py b/funasr/tasks/asr.py
index d52c9c3..43ea5ab 100644
--- a/funasr/tasks/asr.py
+++ b/funasr/tasks/asr.py
@@ -42,6 +42,7 @@
from funasr.models.joint_net.joint_network import JointNetwork
from funasr.models.e2e_asr import ESPnetASRModel
from funasr.models.e2e_asr_paraformer import Paraformer, ParaformerOnline, ParaformerBert, BiCifParaformer, ContextualParaformer
+from funasr.models.e2e_asr_contextual_paraformer import NeatContextualParaformer
from funasr.models.e2e_tp import TimestampPredictor
from funasr.models.e2e_asr_mfcca import MFCCA
from funasr.models.e2e_uni_asr import UniASR
@@ -128,6 +129,7 @@
paraformer_bert=ParaformerBert,
bicif_paraformer=BiCifParaformer,
contextual_paraformer=ContextualParaformer,
+ neatcontextual_paraformer=NeatContextualParaformer,
mfcca=MFCCA,
timestamp_prediction=TimestampPredictor,
),
@@ -1647,7 +1649,6 @@
normalize = None
# 4. Encoder
-
if getattr(args, "encoder", None) is not None:
encoder_class = encoder_choices.get_class(args.encoder)
encoder = encoder_class(input_size, **args.encoder_conf)
@@ -1683,7 +1684,7 @@
# 7. Build model
- if encoder.unified_model_training:
+ if hasattr(encoder, 'unified_model_training') and encoder.unified_model_training:
model = UnifiedTransducerModel(
vocab_size=vocab_size,
token_list=token_list,
--
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