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PaddleSpeech/demos/streaming_asr_server/conf/ws_ds2_application.yaml

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# This is the parameter configuration file for PaddleSpeech Serving.
#################################################################################
# SERVER SETTING #
#################################################################################
host: 0.0.0.0
port: 8090
# The task format in the engin_list is: <speech task>_<engine type>
# task choices = ['asr_online-inference', 'asr_online-onnx']
# protocol = ['websocket'] (only one can be selected).
# websocket only support online engine type.
protocol: 'websocket'
engine_list: ['asr_online-onnx']
#################################################################################
# ENGINE CONFIG #
#################################################################################
################################### ASR #########################################
################### speech task: asr; engine_type: online-inference #######################
asr_online-inference:
model_type: 'deepspeech2online_wenetspeech'
am_model: # the pdmodel file of am static model [optional]
am_params: # the pdiparams file of am static model [optional]
lang: 'zh'
sample_rate: 16000
cfg_path:
decode_method:
num_decoding_left_chunks:
force_yes: True
device: 'cpu' # cpu or gpu:id
am_predictor_conf:
device: # set 'gpu:id' or 'cpu'
switch_ir_optim: True
glog_info: False # True -> print glog
summary: True # False -> do not show predictor config
chunk_buffer_conf:
frame_duration_ms: 85
shift_ms: 40
sample_rate: 16000
sample_width: 2
window_n: 7 # frame
shift_n: 4 # frame
window_ms: 25 # ms
shift_ms: 10 # ms
################################### ASR #########################################
################### speech task: asr; engine_type: online-onnx #######################
asr_online-onnx:
model_type: 'deepspeech2online_wenetspeech'
am_model: # the pdmodel file of onnx am static model [optional]
am_params: # the pdiparams file of am static model [optional]
lang: 'zh'
sample_rate: 16000
cfg_path:
decode_method:
num_decoding_left_chunks:
force_yes: True
device: 'cpu' # cpu or gpu:id
# https://onnxruntime.ai/docs/api/python/api_summary.html#inferencesession
am_predictor_conf:
device: 'cpu' # set 'gpu:id' or 'cpu'
graph_optimization_level: 0
intra_op_num_threads: 0 # Sets the number of threads used to parallelize the execution within nodes.
inter_op_num_threads: 0 # Sets the number of threads used to parallelize the execution of the graph (across nodes).
log_severity_level: 2 # Log severity level. Applies to session load, initialization, etc. 0:Verbose, 1:Info, 2:Warning. 3:Error, 4:Fatal. Default is 2.
log_verbosity_level: 0 # VLOG level if DEBUG build and session_log_severity_level is 0. Applies to session load, initialization, etc. Default is 0.
chunk_buffer_conf:
frame_duration_ms: 80
shift_ms: 40
sample_rate: 16000
sample_width: 2
window_n: 7 # frame
shift_n: 4 # frame
window_ms: 25 # ms
shift_ms: 10 # ms