{"id":"W4241475234","doi":"10.1002/0471219282.eot138","title":"Speech Processing","year":2003,"lang":"en","type":"other","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Naturalness; Computer science; Speech recognition; Voice activity detection; Speech synthesis; Speech technology; Vocabulary; Speech processing; Speech corpus; Speech analytics; Natural (archaeology); Natural language processing; Artificial intelligence; Linguistics","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":[0.001079277,0.001072798,0.0007043647,0.001901244,0.0008342107,0.004260886,0.0009917741,0.001058602,0.1502922],"category_scores_gemma":[0.003636761,0.0002203146,0.0005276212,0.001419773,0.000494541,0.001172854,0.001248384,0.0009181428,0.140007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000559836,"about_ca_system_score_gemma":0.0008976395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212454,"about_ca_topic_score_gemma":0.000867465,"domain_scores_codex":[0.9990417,0.0001585966,0.0001090032,0.0002412955,0.0003932819,0.00005616094],"domain_scores_gemma":[0.9984494,0.000251993,0.00005132504,0.0003028057,0.0008883284,0.00005614692],"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":[0.0002623417,0.00004734715,0.0005147554,0.0005567927,0.00004319971,0.0003234977,0.0002453155,0.001170472,0.01324506,0.01180645,0.1539098,0.817875],"study_design_scores_gemma":[0.00006868143,0.0001504949,0.00239297,0.0004350977,0.00005382365,0.0009215433,0.0003738802,0.009153674,0.01430193,0.02153549,0.9505531,0.00005940766],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01040079,0.01012408,0.3380751,0.004579121,0.005414369,0.001393601,0.01427668,0.01548324,0.600253],"genre_scores_gemma":[0.1465652,0.01004755,0.1873191,0.003807413,0.002889808,0.001086966,0.03508423,0.002673626,0.6105261],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1502922,"threshold_uncertainty_score":0.5027775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127134416706402,"score_gpt":0.2468486355925819,"score_spread":0.2255772914255179,"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."}}