| | --- |
| | license: cc-by-nc-sa-2.0 |
| | task_categories: |
| | - automatic-speech-recognition |
| | tags: |
| | - phone-recognition |
| | - l2-speech |
| | pretty_name: GMU Speech Accent Archive |
| | language: |
| | - en |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: test |
| | path: data/test-* |
| | dataset_info: |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: audio |
| | dtype: audio |
| | - name: transcript |
| | dtype: string |
| | splits: |
| | - name: test |
| | num_bytes: 3121706755 |
| | num_examples: 1242 |
| | download_size: 3064680707 |
| | dataset_size: 3121706755 |
| | --- |
| | |
| | # Speech Accent Archive |
| |
|
| | > [!NOTE] |
| | > This work is licensed under [CC BY-NC-SA 2.0](https://creativecommons.org/licenses/by-nc-sa/2.0/). |
| | > If you use this dataset, please remember to cite: |
| | > ``` |
| | > @article{gmuspeechaccentarchive, |
| | > title={Speech Accent Archive}, |
| | > author={Weinberger, Steven}, |
| | > year={2015}, |
| | > publisher={George Mason University}, |
| | > note={Retrieved from \url{https://accent.gmu.edu}} |
| | > } |
| | > ``` |
| |
|
| | [Speech Accent Archive]((https://accent.gmu.edu/about.php)) is a dataset containing 1000+ utterances from speakers of diverse background. |
| | Every speaker read the same short paragraph, and then the speech is transcribed phonetically: |
| |
|
| | > Please call Stella. Ask her to bring these things with her from the store: Six spoons of fresh snow peas, |
| | > five thick slabs of blue cheese, and maybe a snack for her brother Bob. We also need a small plastic snake and a big toy frog for the kids. |
| | > She can scoop these things into three red bags, and we will go meet her Wednesday at the train station. |
| |
|
| |
|
| | The [official website](https://accent.gmu.edu/howto.php) provides interactive search of additional speaker information, |
| | while we only include paired speech and phonetic transcription here. |
| | (Original files could be obtained via contacting [accent@gmu.edu](mailto:accent@gmu.edu).) |
| | The utterance ID is kept the same, and transcripts are extracted from the RTF files. |
| | Note that the speech is sampled at 44.1kHz! |
| |
|
| |
|
| | This dataset is included as `pr-saa` in our phone recognition benchmarking toolkit, [💎PRiSM](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}, |
| | } |
| | ``` |
