{"id":"W4408498124","doi":"10.1007/978-981-97-8695-4_40","title":"Artificial Neural Networks for Speaker Verification","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BP (Canada)","funders":"","keywords":"Speaker verification; Artificial neural network; Computer science; Speech recognition; Speaker recognition; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004042284,0.0003563779,0.0005439605,0.000195144,0.0001373221,0.000379355,0.0003701114,0.000697677,0.00001393117],"category_scores_gemma":[0.00006764611,0.0003210932,0.0001532427,0.0001133831,0.00004841813,0.00009121987,0.00007854337,0.0004323719,0.00000298394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005937037,"about_ca_system_score_gemma":0.00003370777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002462615,"about_ca_topic_score_gemma":0.0001312321,"domain_scores_codex":[0.9981865,0.00006073804,0.0005662354,0.0006700421,0.0001752837,0.0003411853],"domain_scores_gemma":[0.9982715,0.0008221371,0.000232958,0.0004889515,0.0001070094,0.00007743081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000359445,0.00001336148,0.00004089006,0.0001011156,0.00005631245,0.00001276706,0.00004984374,0.07277082,0.000002423911,0.08326766,0.001473834,0.842175],"study_design_scores_gemma":[0.0001154001,0.00003729719,0.00001893218,0.0003268788,0.00002719009,0.0000188709,0.000001166849,0.966189,0.000004353647,0.007797088,0.02513701,0.000326763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000009808738,0.005140516,0.9779771,0.0003481491,0.002966768,0.0008267793,0.00001104948,0.00009862344,0.01262118],"genre_scores_gemma":[0.9342712,0.002124146,0.01386583,0.002972557,0.00881964,0.0005742189,0.0004507836,0.0002112809,0.0367104],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9641113,"threshold_uncertainty_score":0.9999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736837924486579,"score_gpt":0.241920203717654,"score_spread":0.2145518244727883,"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."}}