Duplicate from changelinglab/easycall-dysarthria

Co-authored-by: Eunjung Yeo <speech31@users.noreply.huggingface.co>

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README.md

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+---
+license: cc-by-nc-2.0
+arxiv: 2601.14046
+dataset_info:
+  features:
+  - name: audio
+    dtype: audio
+  - name: filename
+    dtype: string
+  - name: speaker
+    dtype: string
+  - name: text
+    dtype: string
+  - name: dysarthria_severity
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 148684208
+    num_examples: 5213
+  - name: train
+    num_bytes: 750495919
+    num_examples: 11901
+  - name: validation
+    num_bytes: 288578100
+    num_examples: 4272
+  download_size: 806733066
+  dataset_size: 1187758227
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/test-*
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+language:
+- it
+tags:
+- dysarthria
+---
+# EasyCall
+The EasyCall corpus is  a database of command speech recorded from healthy individuals and dysarthric patients. 
+
+## Dataset Details
+### Dataset Description
+This dataset has been collected through a collaboration between the Italian Institute of Technology (IIT), the University of Ferrara and the Sant'Anna Hospital of Ferrara, and it  aims at providing a new resource for future developments of ASR-based assistive technologies.
+In particular, it may be exploited to develop a voice-controlled contact application for commercial smartphones, and improve dysarthric patients' ability to communicate with their family and caregivers.
+
+- **Curated by:** Rosanna Turrisi, Arianna Braccia, Marco Emanuele, Simone Giulietti, Luciano Fadiga, Mariachiara Sensi, Leonardo  Badino.
+
+### License
+- CC BY-NC 2.0
+
+### Dataset Sources
+
+- **Repository:** http://neurolab.unife.it/easycallcorpus/
+
+## Dataset Structure
+It  currently consists of  16683 audio recordings from 21 healthy and 26 dysarthric speakers.  For each speech-impaired individual, dysarthria has been assessed by a neurologist through the Therapy Outcome Measure. 
+The recordings focus on a small vocabulary, including basic smartphone commands, such as “open contacts”, “start call”, “end call”.  Specifically, these commands are the result of a survey administered to patients  that evaluates which commands are more likely to be employed by dysarthric individuals to use a speech command-based 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 ASR system.
+
+## Citation
+If you use this dataset, please cite the following publication:
+
+```
+@inproceedings{turrisi21_interspeech,
+  title     = {EasyCall Corpus: A Dysarthric Speech Dataset},
+  author    = {Rosanna Turrisi and Arianna Braccia and Marco Emanuele and Simone Giulietti and Maura Pugliatti and Mariachiara Sensi and Luciano Fadiga and Leonardo Badino},
+  year      = {2021},
+  booktitle = {Interspeech 2021},
+  pages     = {41--45},
+  doi       = {10.21437/Interspeech.2021-549},
+  issn      = {2958-1796},
+}
+```
+
+You can use this dataset with our benchmarking toolkit at https://github.com/changelinglab/prism
+```
+@misc{prism2026,
+      title={PRiSM: Benchmarking Phone Realization in Speech Models}, 
+      author={Shikhar Bharadwaj and Chin-Jou Li and Yoonjae Kim and Kwanghee Choi and Eunjung Yeo and Ryan Soh-Eun Shim and Hanyu Zhou and Brendon Boldt and Karen Rosero Jacome and Kalvin Chang and Darsh Agrawal and Keer Xu and Chao-Han Huck Yang and Jian Zhu and Shinji Watanabe and David R. Mortensen},
+      year={2026},
+      eprint={2601.14046},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2601.14046}, 
+}
+```

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