{"id":"W4375868846","doi":"10.1109/icassp49357.2023.10095455","title":"Adaptive Time-Scale Modification for Improving Speech Intelligibility Based On Phoneme Clustering For Streaming Services","year":2023,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Speech recognition; Intelligibility (philosophy); Dynamic time warping; Mean opinion score; Crowdsourcing; Timbre; Pronunciation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002866695,0.0005819937,0.0002719341,0.0005192328,0.0002367537,0.0003188219,0.0003325006,0.0003248939,0.001145159],"category_scores_gemma":[0.001715084,0.0001120908,0.000321156,0.0003978348,0.000209397,0.0006117594,0.0003157504,0.0003343172,0.0004756144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579553,"about_ca_system_score_gemma":0.000248286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147053,"about_ca_topic_score_gemma":0.001708013,"domain_scores_codex":[0.9997463,0.00004343716,0.00002079274,0.0000647187,0.0001051479,0.00001972258],"domain_scores_gemma":[0.9995992,0.0001249397,0.00004689187,0.00005727954,0.0001457173,0.00002592623],"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":[0.0007280351,0.0001366859,0.002820101,0.0001288665,0.00005071816,0.0001520822,0.0001961293,0.01755623,0.2510612,0.001134397,0.001276531,0.724759],"study_design_scores_gemma":[0.00008679349,0.001040481,0.02130597,0.00003527052,0.0001838786,0.00110798,0.0003189557,0.6672922,0.2967368,0.001842698,0.009940102,0.0001088748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2421695,0.0008000223,0.752907,0.0001459824,0.0001865127,0.0001282021,0.0001295113,0.001335709,0.002197568],"genre_scores_gemma":[0.7088996,0.0004362622,0.2878073,0.00008066308,0.00008686329,0.0001103426,0.0002770166,0.0001472633,0.002154683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001147053,"threshold_uncertainty_score":0.00383091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0361554150282288,"score_gpt":0.2839446849851335,"score_spread":0.2477892699569047,"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."}}