{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/emotion-recognition-from-speech-with","title":"Emotion Recognition From Speech With Recurrent Neural Networks","arxiv_id":"1701.08071","date":"2017-01-27","proceeding":null,"authors":["Vladimir Chernykh","Pavel Prikhodko"],"abstract":"In this paper the task of emotion recognition from speech is considered.\nProposed approach uses deep recurrent neural network trained on a sequence of\nacoustic features calculated over small speech intervals. At the same time\nspecial probabilistic-nature CTC loss function allows to consider long\nutterances containing both emotional and neutral parts. The effectiveness of\nsuch an approach is shown in two ways. Firstly, the comparison with recent\nadvances in this field is carried out. Secondly, human performance on the same\ntask is measured. Both criteria show the high quality of the proposed method.","url_abs":"http://arxiv.org/abs/1701.08071v2","url_pdf":"http://arxiv.org/pdf/1701.08071v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"emotion-recognition-from-speech-with","repo_url":"https://github.com/vladimir-chernykh/emotion_recognition","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"emotion-recognition","task_name":"Emotion Recognition"}],"methods":[{"method_slug":"ctc-loss","method_name":"CTC Loss"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}