{"id":"W4200004927","doi":"10.1109/pst52912.2021.9647775","title":"SegmentPerturb: Effective Black-Box Hidden Voice Attack on Commercial ASR Systems via Selective Deletion","year":2021,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Voice command device; Speech recognition; Voice activity detection; Speaker recognition; Black box; Control (management); Mobile device; Smartwatch; Human–computer interaction; Speech processing; Artificial intelligence; Embedded system; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006100478,0.0008106507,0.0007009355,0.000556776,0.0004831941,0.0005393676,0.0006731084,0.0008289496,0.001672609],"category_scores_gemma":[0.001995546,0.0002145465,0.0003632365,0.0002485131,0.0008201544,0.00156884,0.001374873,0.0006775942,0.000781763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003201215,"about_ca_system_score_gemma":0.0003759947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004334044,"about_ca_topic_score_gemma":0.0005166425,"domain_scores_codex":[0.9991522,0.0002167708,0.00004385061,0.0001501599,0.0003225369,0.0001145116],"domain_scores_gemma":[0.9988208,0.0004817801,0.0001306149,0.0003888395,0.0001182423,0.00005964538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0027354,0.0002791139,0.004073063,0.0002205403,0.0001310441,0.0009616669,0.0006552541,0.09148335,0.3521767,0.01547591,0.006066864,0.5257411],"study_design_scores_gemma":[0.00008304596,0.0008008177,0.001369555,0.00001586393,0.00004242211,0.0009664773,0.0001527357,0.8049107,0.1807073,0.00526572,0.005646653,0.0000387646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2190828,0.0003939654,0.7690821,0.0002636364,0.00008556816,0.0001773453,0.00009604626,0.007407144,0.003411415],"genre_scores_gemma":[0.8706747,0.0001163577,0.1256093,0.000132984,0.00004210885,0.00006077453,0.000161979,0.0001910874,0.003010699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001672609,"threshold_uncertainty_score":0.005595386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566182725180242,"score_gpt":0.2688407223959675,"score_spread":0.243178895144165,"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."}}