| { |
| "sample_rate": 16000, |
| "chunk_sec": 0.64, |
| "right_context_sec": 0.16, |
| "nbest": 5, |
| "beam_size": 8, |
| "max_new_tokens": 128, |
| "no_repeat_ngram_size": 0, |
| "language": "english", |
| "min_sil_frames": 4, |
| "commit_rule": "legacy", |
| "max_audio_sec": 30, |
| "filter": { |
| "max_new_tokens": 128, |
| "no_repeat_ngram_size": 0, |
| "strict_repeat_word_trigger": 64, |
| "strict_repeat_phone_trigger": 100, |
| "repeat_ngram_min_repeats": 4, |
| "repeat_max_ngram_size": 12, |
| "repeat_ngram_coverage": 0.6, |
| "repeat_token_ratio": 0.5, |
| "length_policy": "word_count and absolute phone_count only enable strict repetition checks; non-repetitive long hypotheses are retained", |
| "hard_rejection_policy": "reference-independent repeated hypotheses only; G2P or alignment failures return explicit invalid status" |
| }, |
| "historical_reference_ratio_filter_disabled": true, |
| "lexical_stress_features": "zero as frozen builder", |
| "native_target_divisor": 5, |
| "score_scaling": { |
| "word_network_to_0_10": 5, |
| "utterance_network_to_0_10": 5, |
| "phone_network_to_0_2": 5, |
| "word_network_to_0_5": 2.5, |
| "utterance_network_to_0_5": 2.5, |
| "phone_network_to_0_5": 12.5 |
| }, |
| "clip_scores": false, |
| "historical_filter_metadata": { |
| "max_new_tokens": 128, |
| "no_repeat_ngram_size": 0, |
| "strict_repeat_word_trigger": 64, |
| "strict_repeat_phone_trigger": 100, |
| "max_phone_ratio": 3.0, |
| "repeat_ngram_min_repeats": 4, |
| "repeat_max_ngram_size": 12, |
| "repeat_ngram_coverage": 0.6, |
| "repeat_token_ratio": 0.5, |
| "length_policy": "word_count and absolute phone_count only enable strict repetition checks; non-repetitive long hypotheses are retained", |
| "hard_rejection_policy": "drop individual N-best hypotheses with detected repetition or ASR/reference phone ratio above max_phone_ratio; drop chunk only if all hypotheses are filtered" |
| } |
| } |
|
|
