{"id":"W3089020900","doi":"10.18280/ria.340201x","title":"Retraction: MFCC-Based Feature Extraction Model for Long Time Period Emotion Speech Using CNN","year":2020,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":true,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mel-frequency cepstrum; Period (music); Computer science; Speech recognition; Feature extraction; Feature (linguistics); Emotion recognition; Artificial intelligence; Pattern recognition (psychology); Acoustics; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09829718061852849,"score_gpt":0.3027681411727362,"score_spread":0.2044709605542077,"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."}}