{"schema":"pith.reference-change-event.v1","doi":"10.1007/s11042-020-09874-7","canonical_url":"https://pith.science/event/10.1007/s11042-020-09874-7","json_url":"https://pith.science/event/10.1007/s11042-020-09874-7.json","not_a_judgment":"This page records that a citing paper's bibliography includes a work with a published notice. It is not a judgment on the citing paper.","primary":{"event_id":296507,"doi":"10.1007/s11042-020-09874-7","event_type":"correction","event_type_label":"Correction","source":"crossref","source_label":"Crossref","event_date":"2021-05-03","title":"Correction to: Deep learning approaches for speech emotion recognition: state of the art and research challenges","work_title":"Deep learning approaches for speech emotion recognition: state of the art and research challenges,","work_doi":"10.1007/s11042-020-09874-7","work_arxiv_id":null,"notice_doi":"10.1007/s11042-021-10967-0","flag_count":0,"flags_open":0,"flags_disputed":0,"latest_flag_at":null,"human_href":"/event/10.1007/s11042-020-09874-7","json_href":"/event/10.1007/s11042-020-09874-7.json"},"events":[{"event_id":296507,"doi":"10.1007/s11042-020-09874-7","event_type":"correction","event_type_label":"Correction","source":"crossref","source_label":"Crossref","event_date":"2021-05-03","title":"Correction to: Deep learning approaches for speech emotion recognition: state of the art and research challenges","work_title":"Deep learning approaches for speech emotion recognition: state of the art and research challenges,","work_doi":"10.1007/s11042-020-09874-7","work_arxiv_id":null,"notice_doi":"10.1007/s11042-021-10967-0","flag_count":0,"flags_open":0,"flags_disputed":0,"latest_flag_at":null,"human_href":"/event/10.1007/s11042-020-09874-7","json_href":"/event/10.1007/s11042-020-09874-7.json"}],"flags":[{"id":9453,"status":"open","status_label":"Open","citing_arxiv_id":"2501.12050","citing_title":"Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition","ref_index":22,"evidence_raw":"R. Jahangir, Y . W. Teh, F. Hanif, and G. Mujtaba, “Deep learning approaches for speech emotion recognition: state of the art and research challenges,” Multimedia Tools and Applications , vol. 80, no. 16, pp. 23 745–23 812, 7 2021. [Online]. Available: https://link.springer.com/article/10.1007/s11042-020-09874-7","evidence_cleaned":"R. Jahangir, Y . W. Teh, F. Hanif, and G. Mujtaba, “Deep learning approaches for speech emotion recognition: state of the art and research challenges,” Multimedia Tools and Applications, vol. 80, no. 16, pp. 23 745–23 812, 7 2021. [Online]. Available: https://link.springer.com/article/10.1007/s11042-020-09874-7","evidence_source_label":"bibliography line","event_type":"correction","event_type_label":"Correction","source_label":"Crossref","event_date":"2021-05-03","work_title":"Deep learning approaches for speech emotion recognition: state of the art and research challenges,","work_doi":"10.1007/s11042-020-09874-7","event_doi":"10.1007/s11042-020-09874-7","flag_href":"/flags/9453","event_href":"/event/10.1007/s11042-020-09874-7","paper_href":"/paper/2501.12050","created_at":"2026-08-10T18:17:57.431805Z","dispute_note":null,"disputed_at":null,"disputed_by":null}],"flag_count":1,"flags_open":1,"flags_disputed":0,"desk_url":"https://pith.science/flags"}