{"id":"W1833646357","doi":"10.1109/scft.1999.781498","title":"Coding distortion caused by a phase difference between the LP filter and its residual","year":2003,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Speech coding; Residual; Algorithm; Sub-band coding; Computer science; Linear predictive coding; Coding (social sciences); Speech recognition; Decoding methods; Linear phase; Phase distortion; Phase difference; Mathematics; Filter (signal processing); Telecommunications; Computer vision; Statistics; Bandwidth (computing)","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":[0.00045154,0.0005916934,0.0003428945,0.0006195679,0.0002621913,0.0005154049,0.0004383487,0.0005960689,0.002350261],"category_scores_gemma":[0.003617794,0.0002215416,0.0002436434,0.0004855666,0.0005536341,0.0006367159,0.0003763011,0.0006706751,0.000693825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219168,"about_ca_system_score_gemma":0.0002964787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105989,"about_ca_topic_score_gemma":0.0009998078,"domain_scores_codex":[0.9996043,0.00004762906,0.00002988309,0.00006161349,0.0002194295,0.00003721228],"domain_scores_gemma":[0.9974328,0.001485049,0.0003568169,0.0003038714,0.0003677041,0.00005381669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006444234,0.0000782048,0.001802071,0.0002176858,0.00004394512,0.001122729,0.0002508594,0.01456951,0.8351259,0.007110788,0.0005831455,0.1384508],"study_design_scores_gemma":[0.00005506806,0.0005808644,0.00683022,0.00004587114,0.0001076147,0.006840849,0.0001100611,0.08495928,0.8913251,0.002702559,0.006381066,0.00006155061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3926226,0.001037264,0.5976867,0.0003239326,0.0002408174,0.0001052613,0.0002086344,0.001003315,0.006771388],"genre_scores_gemma":[0.8528584,0.001128702,0.1397147,0.0002205464,0.0001017139,0.00005785958,0.000367154,0.0002886599,0.005262421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002350261,"threshold_uncertainty_score":0.007862449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380763369671178,"score_gpt":0.2770845999307359,"score_spread":0.239008262963618,"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."}}