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49 lines
1.8 KiB
49 lines
1.8 KiB
# This is the parameter configuration file for PaddleSpeech Serving.
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#################################################################################
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# SERVER SETTING #
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#################################################################################
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host: 0.0.0.0
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port: 8090
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# The task format in the engin_list is: <speech task>_<engine type>
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# task choices = ['asr_online']
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# protocol = ['websocket'] (only one can be selected).
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# websocket only support online engine type.
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protocol: 'websocket'
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engine_list: ['asr_online']
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#################################################################################
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# ENGINE CONFIG #
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#################################################################################
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################################### ASR #########################################
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################### speech task: asr; engine_type: online #######################
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asr_online:
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model_type: 'conformer_online_wenetspeech'
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am_model: # the pdmodel file of am static model [optional]
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am_params: # the pdiparams file of am static model [optional]
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lang: 'zh'
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sample_rate: 16000
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cfg_path:
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decode_method:
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force_yes: True
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device: 'cpu' # cpu or gpu:id
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decode_method: "attention_rescoring"
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continuous_decoding: True # enable continue decoding when endpoint detected
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am_predictor_conf:
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device: # set 'gpu:id' or 'cpu'
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switch_ir_optim: True
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glog_info: False # True -> print glog
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summary: True # False -> do not show predictor config
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chunk_buffer_conf:
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window_n: 7 # frame
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shift_n: 4 # frame
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window_ms: 25 # ms
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shift_ms: 10 # ms
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sample_rate: 16000
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sample_width: 2
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