Spaces:
Running
Running
| name: "ClusterDiarizer" | |
| num_workers: 1 | |
| sample_rate: 16000 | |
| batch_size: 64 | |
| device: cpu | |
| verbose: True | |
| diarizer: | |
| manifest_filepath: .temp/manifest.json | |
| out_dir: .temp | |
| oracle_vad: False | |
| collar: 0.25 | |
| ignore_overlap: True | |
| vad: | |
| model_path: vad_multilingual_marblenet | |
| external_vad_manifest: null | |
| parameters: | |
| window_length_in_sec: 0.15 | |
| shift_length_in_sec: 0.01 | |
| smoothing: "median" | |
| overlap: 0.5 | |
| onset: 0.1 | |
| offset: 0.1 | |
| pad_onset: 0.1 | |
| pad_offset: 0 | |
| min_duration_on: 0 | |
| min_duration_off: 0.2 | |
| filter_speech_first: True | |
| speaker_embeddings: | |
| model_path: titanet_large | |
| parameters: | |
| window_length_in_sec: [ 1.5,1.25,1.0,0.75,0.5 ] | |
| shift_length_in_sec: [ 0.75,0.625,0.5,0.375,0.25 ] | |
| multiscale_weights: [ 1,1,1,1,1 ] | |
| save_embeddings: True | |
| clustering: | |
| parameters: | |
| oracle_num_speakers: False | |
| max_num_speakers: 8 | |
| enhanced_count_thres: 80 | |
| max_rp_threshold: 0.25 | |
| sparse_search_volume: 30 | |
| maj_vote_spk_count: False | |
| chunk_cluster_count: 50 | |
| embeddings_per_chunk: 10000 | |
| msdd_model: | |
| model_path: diar_msdd_telephonic | |
| parameters: | |
| use_speaker_model_from_ckpt: True | |
| infer_batch_size: 25 | |
| sigmoid_threshold: [ 0.7 ] | |
| seq_eval_mode: False | |
| split_infer: True | |
| diar_window_length: 50 | |
| overlap_infer_spk_limit: 5 | |
| asr: | |
| model_path: stt_en_conformer_ctc_large | |
| parameters: | |
| asr_based_vad: False | |
| asr_based_vad_threshold: 1.0 | |
| asr_batch_size: null | |
| decoder_delay_in_sec: null | |
| word_ts_anchor_offset: null | |
| word_ts_anchor_pos: "start" | |
| fix_word_ts_with_VAD: False | |
| colored_text: False | |
| print_time: True | |
| break_lines: False | |
| ctc_decoder_parameters: | |
| pretrained_language_model: null | |
| beam_width: 32 | |
| alpha: 0.5 | |
| beta: 2.5 | |
| realigning_lm_parameters: | |
| arpa_language_model: null | |
| min_number_of_words: 3 | |
| max_number_of_words: 10 | |
| logprob_diff_threshold: 1.2 | |