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update paraformer online recipe

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This commit is contained in:
haoneng.lhn 2023-06-05 16:25:25 +08:00
parent fae856e23d
commit 33784c4eef
8 changed files with 10 additions and 6 deletions
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2
egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py
View File

@ -5,7 +5,7 @@ inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online',
model_revision='v1.0.6',
update_model='v1.0.6',
update_model=False,
mode="paraformer_fake_streaming"
)
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav'

4
egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/demo_online.py
View File

@ -14,8 +14,8 @@ os.environ["MODELSCOPE_CACHE"] = "./"
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online',
model_revision='v1.0.4',
update_model='v1.0.4',
model_revision='v1.0.6',
update_model=False,
mode="paraformer_streaming"
)

1
egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/finetune.py
View File

@ -15,6 +15,7 @@ def modelscope_finetune(params):
kwargs = dict(
model=params.model,
model_revision='v1.0.6',
update_model=False,
data_dir=ds_dict,
dataset_type=params.dataset_type,
work_dir=params.output_dir,

1
egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/infer.py
View File

@ -12,6 +12,7 @@ def modelscope_infer(args):
output_dir=args.output_dir,
batch_size=args.batch_size,
model_revision='v1.0.6',
update_model=False,
mode="paraformer_fake_streaming",
param_dict={"decoding_model": args.decoding_mode, "hotword": args.hotword_txt}
)

2
egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/demo.py
View File

@ -5,7 +5,7 @@ inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online',
model_revision='v1.0.6',
update_model='v1.0.6',
update_model=False,
mode="paraformer_fake_streaming"
)
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav'

4
egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/demo_online.py
View File

@ -14,8 +14,8 @@ os.environ["MODELSCOPE_CACHE"] = "./"
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online',
model_revision='v1.0.4',
update_model='v1.0.4',
model_revision='v1.0.6',
update_model=False,
mode="paraformer_streaming"
)

1
egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/finetune.py
View File

@ -15,6 +15,7 @@ def modelscope_finetune(params):
kwargs = dict(
model=params.model,
model_revision='v1.0.6',
update_model=False,
data_dir=ds_dict,
dataset_type=params.dataset_type,
work_dir=params.output_dir,

1
egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online/infer.py
View File

@ -12,6 +12,7 @@ def modelscope_infer(args):
output_dir=args.output_dir,
batch_size=args.batch_size,
model_revision='v1.0.6',
update_model=False,
mode="paraformer_fake_streaming",
param_dict={"decoding_model": args.decoding_mode, "hotword": args.hotword_txt}
)