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