{"id":"W2110002054","doi":"10.1109/icme.2006.262771","title":"Data Hiding for Speech Bandwidth Extension and its Hardware Implementation","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; MicroBlaze; Information hiding; Fast Fourier transform; Bandwidth (computing); Software; Narrowband; Computer hardware; Scheme (mathematics); Voice activity detection; Field-programmable gate array; Speech coding; Speech processing; Embedded system; Speech recognition; Image (mathematics); Artificial intelligence; Computer network; Algorithm","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":[0.0001243747,0.0003317904,0.0001614084,0.0003433664,0.0001710903,0.0002823453,0.0004295699,0.0003034718,0.002115361],"category_scores_gemma":[0.0003453192,0.0001974791,0.0001843815,0.0002108209,0.0001777877,0.000453128,0.0002576144,0.0003212711,0.0005813398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946499,"about_ca_system_score_gemma":0.0002207273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003189098,"about_ca_topic_score_gemma":0.0003856132,"domain_scores_codex":[0.999895,0.00001062875,0.0000080544,0.00001665106,0.00005351587,0.00001606553],"domain_scores_gemma":[0.9998631,0.00004183967,0.00001747942,0.00003257417,0.00003811061,0.000006768737],"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":[0.000292243,0.00005110205,0.0004701776,0.0002679927,0.00002334033,0.0001779432,0.0001001478,0.005891733,0.807412,0.009051653,0.0007076839,0.175554],"study_design_scores_gemma":[0.0000711687,0.000310324,0.0009223481,0.00003688667,0.00004524521,0.000798024,0.00002403015,0.1208575,0.8602664,0.001568876,0.01507073,0.0000283755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1475746,0.001382899,0.8399845,0.0003328992,0.0001445415,0.0001538787,0.0000866207,0.002482702,0.007857416],"genre_scores_gemma":[0.7458483,0.0007302641,0.2473472,0.00006994564,0.00004403674,0.0001336523,0.0001165272,0.00004882388,0.005661407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002115361,"threshold_uncertainty_score":0.007076621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05099554527227897,"score_gpt":0.3304528436102287,"score_spread":0.2794572983379497,"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."}}