{"id":"W2156141367","doi":"10.1109/ccece.2006.277564","title":"An Online System for Synchronized Processing of Video and Audio Signals","year":2006,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Audio signal; Audio signal processing; Synchronization (alternating current); Process (computing); Speech recognition; Audio mining; Bottleneck; Video tracking; Audio signal flow; Video processing; Video capture; SIGNAL (programming language); Speech processing; Artificial intelligence; Speech coding; Computer vision; Voice activity detection; Embedded system; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008239473,0.0005915688,0.0007803459,0.0008331323,0.0003872963,0.001056904,0.001919672,0.0009368316,0.01640484],"category_scores_gemma":[0.00153638,0.0003157628,0.000274326,0.0004771256,0.0002792759,0.001457505,0.001013269,0.0006313734,0.006722655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274688,"about_ca_system_score_gemma":0.0005661651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004133994,"about_ca_topic_score_gemma":0.000360713,"domain_scores_codex":[0.9991539,0.0001228091,0.00005379943,0.0002520749,0.0003493607,0.000068035],"domain_scores_gemma":[0.9990314,0.0002440672,0.00008190884,0.0002194083,0.0003285922,0.00009462264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009981318,0.0006042165,0.001463414,0.0003557399,0.00008536179,0.000440624,0.0002203582,0.002022009,0.5540013,0.005724237,0.01335364,0.4207309],"study_design_scores_gemma":[0.0004321738,0.002498519,0.006580182,0.0001156511,0.0002479558,0.002499576,0.00009264211,0.1827756,0.699932,0.002665575,0.1019808,0.0001791376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02786658,0.0002924945,0.9440864,0.0001069802,0.0003187571,0.0005033946,0.0002608606,0.0210944,0.005470094],"genre_scores_gemma":[0.2897024,0.0003386783,0.6852148,0.0004196082,0.0005146359,0.001022478,0.0009925549,0.0008914209,0.02090341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01640484,"threshold_uncertainty_score":0.05487967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719664045083422,"score_gpt":0.2582526468303694,"score_spread":0.2410560063795351,"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."}}