{"id":"W1560330215","doi":"","title":"Speaker identification by computer and human evaluated on the SPIDRE corpus","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Handset; Confusion; Speech recognition; Identification (biology); Set (abstract data type); Speaker identification; Computer science; Speaker recognition; Block (permutation group theory); Speaker diarisation; Telecommunications; Mathematics; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028512,0.0008437668,0.001044643,0.00197978,0.0005562389,0.001376849,0.0005748839,0.0009630315,0.01381698],"category_scores_gemma":[0.005260011,0.0001750195,0.0002409328,0.0008349956,0.0006920221,0.001406292,0.00116669,0.0003680077,0.005772021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945415,"about_ca_system_score_gemma":0.0002583813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00248997,"about_ca_topic_score_gemma":0.002672522,"domain_scores_codex":[0.997609,0.0007969968,0.0003392656,0.0006385192,0.0004993968,0.0001168576],"domain_scores_gemma":[0.9960962,0.002092219,0.0001371725,0.0007377933,0.000838523,0.00009813069],"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":[0.004361859,0.00149444,0.02165465,0.002177129,0.0002981054,0.001243172,0.00243241,0.01075155,0.1607314,0.001707186,0.02487451,0.7682735],"study_design_scores_gemma":[0.00075006,0.007271582,0.2943404,0.0002672695,0.0004636648,0.009250142,0.005692359,0.1376126,0.4539544,0.004032185,0.08571512,0.0006502288],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254212,0.003348308,0.03233416,0.0002615828,0.000342077,0.0008895211,0.01180368,0.005206869,0.0203926],"genre_scores_gemma":[0.8875615,0.001066592,0.06211995,0.000203159,0.0002262996,0.001001117,0.0300036,0.0006298415,0.01718806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01381698,"threshold_uncertainty_score":0.04622239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922633385975221,"score_gpt":0.2269726318727102,"score_spread":0.207746298012958,"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."}}