{"id":"W4236502327","doi":"10.1007/978-3-540-49127-9_46","title":"Dereverberation","year":2007,"lang":"en","type":"book-chapter","venue":"Springer handbooks","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Reverberation; Computer science; Speech recognition; Speech enhancement; Background noise; Acoustics; 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":[0.0005026926,0.001067358,0.0009089793,0.001042776,0.001512997,0.002135374,0.001501504,0.001450549,0.1475377],"category_scores_gemma":[0.0007834571,0.0003216254,0.0004551601,0.0008665146,0.0007846342,0.002629716,0.002333522,0.00140187,0.1005486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005159095,"about_ca_system_score_gemma":0.000692155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00061877,"about_ca_topic_score_gemma":0.0008694188,"domain_scores_codex":[0.9993278,0.00006479522,0.00002711969,0.0001606312,0.0003019208,0.0001177938],"domain_scores_gemma":[0.9996333,0.00004376935,0.00002036133,0.0001260596,0.0001430838,0.0000333106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002292522,0.00008782768,0.0002712545,0.0004778373,0.00001291031,0.0005904476,0.000574208,0.0006371003,0.04986402,0.06867219,0.2083701,0.6702129],"study_design_scores_gemma":[0.000005786029,0.00005384475,0.0003080828,0.00008711813,0.000008791632,0.0007894707,0.0001433494,0.0004538796,0.02160788,0.008087889,0.9684351,0.00001874842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00751184,0.008535376,0.04623624,0.001134449,0.004169936,0.000118959,0.0005326153,0.003506088,0.9282545],"genre_scores_gemma":[0.03960442,0.004346623,0.00619342,0.0007155641,0.0005177116,0.00007044827,0.000906302,0.0009413387,0.9467041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1475377,"threshold_uncertainty_score":0.4935627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761777809119957,"score_gpt":0.2510814294353385,"score_spread":0.2134636513441389,"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."}}