{"id":"W2072245166","doi":"10.1007/s10772-005-2168-4","title":"Post Recognition Speech Localization","year":2005,"lang":"en","type":"article","venue":"International Journal of Speech Technology","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Phrase; Speech recognition; SIGNAL (programming language); Speech processing; Multilateration; Word (group theory); Artificial intelligence; Pattern recognition (psychology); Acoustics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000407607,0.0001323105,0.0001935006,0.001339902,0.0000530575,0.0001267293,0.001475883,0.0001877424,0.0003910308],"category_scores_gemma":[0.000483252,0.0001236287,0.0001256095,0.0004534543,0.00007490777,0.0009103169,0.0001532567,0.0002962497,0.000461404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000179689,"about_ca_system_score_gemma":0.0000979588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007665699,"about_ca_topic_score_gemma":0.00001992591,"domain_scores_codex":[0.9983664,0.00003853336,0.0005971957,0.0002004393,0.0006096445,0.000187755],"domain_scores_gemma":[0.9972453,0.00007201037,0.0004712348,0.0002148298,0.001925251,0.00007143352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000203372,0.0001013127,0.000224182,0.00000140054,0.00006524965,0.0002222957,0.00004449047,0.00000896611,0.005128833,0.003166239,0.000931942,0.9900848],"study_design_scores_gemma":[0.001843537,0.0004241313,0.0004187759,0.0001895083,0.00003447391,0.01627783,0.0002580335,0.008722926,0.7235506,0.0641517,0.183653,0.0004754754],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1805073,0.0003513648,0.710793,0.09687752,0.003174028,0.0001944842,0.00002148336,0.000453489,0.007627262],"genre_scores_gemma":[0.5422353,0.0002896435,0.4538623,0.002316343,0.0009797737,0.00000412475,0.000009248794,0.00001809226,0.0002852451],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9896093,"threshold_uncertainty_score":0.5930569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544005197725855,"score_gpt":0.2639430521250483,"score_spread":0.2485030001477898,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}