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- # This is an example that demonstrates how to configure a model file.
- # You can modify the configuration according to your own requirements.
- # to print the register_table:
- # from funasr.register import tables
- # tables.print()
- # network architecture
- model: FsmnVADStreaming
- model_conf:
- sample_rate: 16000
- detect_mode: 1
- snr_mode: 0
- max_end_silence_time: 800
- max_start_silence_time: 3000
- do_start_point_detection: True
- do_end_point_detection: True
- window_size_ms: 200
- sil_to_speech_time_thres: 150
- speech_to_sil_time_thres: 150
- speech_2_noise_ratio: 1.0
- do_extend: 1
- lookback_time_start_point: 200
- lookahead_time_end_point: 100
- max_single_segment_time: 60000
- snr_thres: -100.0
- noise_frame_num_used_for_snr: 100
- decibel_thres: -100.0
- speech_noise_thres: 0.6
- fe_prior_thres: 0.0001
- silence_pdf_num: 1
- sil_pdf_ids: [0]
- speech_noise_thresh_low: -0.1
- speech_noise_thresh_high: 0.3
- output_frame_probs: False
- frame_in_ms: 10
- frame_length_ms: 25
-
- encoder: FSMN
- encoder_conf:
- input_dim: 400
- input_affine_dim: 140
- fsmn_layers: 4
- linear_dim: 250
- proj_dim: 128
- lorder: 20
- rorder: 0
- lstride: 1
- rstride: 0
- output_affine_dim: 140
- output_dim: 248
- frontend: WavFrontend
- frontend_conf:
- fs: 16000
- window: hamming
- n_mels: 80
- frame_length: 25
- frame_shift: 10
- dither: 0.0
- lfr_m: 5
- lfr_n: 1
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