{"id":"W1566335087","doi":"10.5281/zenodo.39208","title":"Classified Highband Excitation For Bandwidth Extension Of Telephony Signals","year":2005,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bandwidth extension; Telephony; Bandwidth (computing); Computer science; Spectral envelope; Speech recognition; Harmonics; Wideband; Narrowband; Intelligibility (philosophy); Telecommunications; Electronic engineering; Acoustics; Audio signal; Speech coding; Engineering; Electrical engineering; Physics","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":[0.0002809959,0.0005302527,0.0002521817,0.0005792398,0.0002521976,0.0004256194,0.0003085963,0.000562852,0.00420118],"category_scores_gemma":[0.0005674085,0.0001653496,0.0002527999,0.0003390552,0.0002472567,0.0003848482,0.0003377821,0.0004507949,0.00117183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001537829,"about_ca_system_score_gemma":0.0001494271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003266319,"about_ca_topic_score_gemma":0.0008504474,"domain_scores_codex":[0.9998044,0.00005906579,0.000007440915,0.00002893318,0.0000723995,0.00002780405],"domain_scores_gemma":[0.9995852,0.000226199,0.0000273421,0.00005262818,0.00008651231,0.00002213075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001241819,0.0001499395,0.001103056,0.0001742602,0.00002210171,0.0002104758,0.0001145961,0.01251506,0.6100217,0.003099554,0.001460124,0.3698873],"study_design_scores_gemma":[0.00006018599,0.0005971366,0.01274343,0.00009310008,0.0001304354,0.001051517,0.0001518598,0.5674208,0.3996235,0.003453127,0.01463055,0.00004437756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1875818,0.001139372,0.8011733,0.0001816062,0.0001416507,0.00006403971,0.000185189,0.0008680325,0.008665127],"genre_scores_gemma":[0.7721751,0.0008841482,0.2161938,0.0000869498,0.0001201541,0.00005827104,0.0005686994,0.0002079454,0.009704952],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00420118,"threshold_uncertainty_score":0.0140543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755635269603241,"score_gpt":0.2723901215349367,"score_spread":0.2448337688389043,"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."}}