{"url":"/dataset/easycall","name":"EasyCall","full_name":null,"description_markdown":"**EasyCall** is a new dysarthric speech command dataset in Italian. The dataset consists of 21386 audio recordings from 24 healthy and 31 dysarthric speakers, whose individual degree of speech impairment was assessed by neurologists through the Therapy Outcome Measure. The corpus aims at providing a resource for the development of ASR-based assistive technologies for patients with dysarthria. In particular, it may be exploited to develop a voice-controlled contact application for commercial smartphones, aiming at improving dysarthric patients' ability to communicate with their family and caregivers. Before recording the dataset, participants were administered a survey to evaluate which commands are more likely to be employed by dysarthric individuals in a voice-controlled contact application. In addition, the dataset includes a list of non-commands (i.e., words near/inside commands or phonetically close to commands) that can be leveraged to build a more robust command recognition system.\r\n\r\nSource: [EasyCall corpus: a dysarthric speech dataset](https://paperswithcode.com/paper/easycall-corpus-a-dysarthric-speech-dataset)","description_withheld":null,"homepage":"https://arxiv.org/pdf/2104.02542v1.pdf","introduced_date":"2021-04-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/easycall-corpus-a-dysarthric-speech-dataset","title":"EasyCall corpus: a dysarthric speech dataset","first_author":"Rosanna Turrisi","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Speech","url":"/datasets/modality/speech"}],"tasks":[],"languages":[{"name":"Italian","url":"/datasets/language/italian"}],"variants":["EasyCall"],"data_loaders":[],"num_papers_in_archive":7,"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."}