{"id":"W1965658093","doi":"10.1109/isspit.2007.4458039","title":"Transmitting Encrypted Data by Wavelet Transform and Neural Network","year":2007,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"SR Research (Canada)","funders":"","keywords":"Speech recognition; Computer science; SIGNAL (programming language); Phone; Encryption; Voice activity detection; Speech processing; Wavelet; Artificial neural network; Line (geometry); Speech coding; Wavelet transform; Statistic; Artificial intelligence; Computer network","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":[0.000547616,0.0003205668,0.0004003263,0.0004842343,0.0002513269,0.0005448779,0.000405959,0.0005544001,0.001258604],"category_scores_gemma":[0.001470431,0.0002493913,0.000408589,0.0006333916,0.000389054,0.001289979,0.0003473996,0.0006611522,0.0004317836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004217449,"about_ca_system_score_gemma":0.0003805426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002417304,"about_ca_topic_score_gemma":0.002022852,"domain_scores_codex":[0.9996507,0.00006760994,0.00002869504,0.00005573835,0.0001605349,0.00003669311],"domain_scores_gemma":[0.9996324,0.0001527068,0.00004172328,0.00004330102,0.0001188538,0.00001116078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003738039,0.0001534082,0.001568225,0.0001810298,0.00009942712,0.0002833077,0.0001769492,0.4327547,0.05690971,0.01538212,0.002121386,0.489996],"study_design_scores_gemma":[0.000003981318,0.00001685292,0.0001372909,0.000003714849,0.000006817916,0.00003034924,0.000008434231,0.99217,0.005792181,0.001387733,0.0004375953,0.000005006556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03541332,0.0002973236,0.9618219,0.0001719206,0.00008346415,0.00003894949,0.0000368874,0.0004148226,0.00172147],"genre_scores_gemma":[0.5477078,0.0008631888,0.4439862,0.00009602774,0.00009885797,0.0001076508,0.0001634258,0.0000770301,0.006899872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002417304,"threshold_uncertainty_score":0.004806519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934052619518983,"score_gpt":0.2543525852299074,"score_spread":0.2350120590347176,"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."}}