{"url":"/dataset/savee","name":"SAVEE","full_name":"Surrey Audio-Visual Expressed Emotion","description_markdown":"The **Surrey Audio-Visual Expressed Emotion (SAVEE)** dataset was recorded as a pre-requisite for the development of an automatic emotion recognition system. The database consists of recordings from 4 male actors in 7 different emotions, 480 British English utterances in total. The sentences were chosen from the standard TIMIT corpus and phonetically-balanced for each emotion. The data were recorded in a visual media lab with high quality audio-visual equipment, processed and labeled. To check the quality of performance, the recordings were evaluated by 10 subjects under audio, visual and audio-visual conditions. Classification systems were built using standard features and classifiers for each of the audio, visual and audio-visual modalities, and speaker-independent recognition rates of 61%, 65% and 84% achieved respectively.","description_withheld":null,"homepage":"http://kahlan.eps.surrey.ac.uk/savee/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Facial Expression Recognition (FER)","url":"/task/facial-expression-recognition","datasets_with_task":"/datasets/task/facial-expression-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SAVEE"],"data_loaders":[{"repo":"https://github.com/tensorflow/datasets","url":"https://www.tensorflow.org/datasets/catalog/savee","frameworks":["tf","jax"]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/facial-expression-recognition-on-savee","task":"Facial Expression Recognition (FER)","dataset_variant":"SAVEE","rows":1,"metrics":["UAR"],"first_row_in_archive_order":{"model":"EmoAffectNet LSTM","paper":"/paper/in-search-of-a-robust-facial-expressions","metrics":{"UAR":"82.8"},"code_links":[{"title":"ElenaRyumina/EMO-AffectNetModel","url":"https://github.com/ElenaRyumina/EMO-AffectNetModel"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/in-search-of-a-robust-facial-expressions","title":"In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus Study","date":"2022-10-07","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}