{"url":"/dataset/agender","name":"aGender","full_name":"aGender","description_markdown":"The **aGender** corpus contains audio recordings of predefined utterances and free speech produced by humans of different age and gender. Each utterance is labeled as one of four age groups: Child, Youth, Adult, Senior, and as one of three gender classes: Female, Male and Child.\n\nSource: [Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data](https://arxiv.org/abs/1602.05875)\nImage Source: [http://www.lrec-conf.org/proceedings/lrec2010/pdf/262_Paper.pdf](http://www.lrec-conf.org/proceedings/lrec2010/pdf/262_Paper.pdf)","description_withheld":null,"homepage":"https://www.isca-speech.org/iscapad/iscapad.php?module=category&id=684","introduced_date":"2010-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"A Database of Age and Gender Annotated Telephone Speech","first_author":null,"url":"http://www.lrec-conf.org/proceedings/lrec2010/summaries/262.html"},"license":null,"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Audio Classification","url":"/task/audio-classification","datasets_with_task":"/datasets/task/audio-classification"},{"name":"Prediction Intervals","url":"/task/prediction-intervals","datasets_with_task":"/datasets/task/prediction-intervals"}],"languages":[],"variants":["aGender"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}