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--- |
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language: |
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- en |
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license: cc-by-sa-4.0 |
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tags: |
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- audio |
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task_categories: |
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- audio-classification |
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--- |
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# Another HEaring AiD DataSet (AHEAD-DS) |
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Another HEaring AiD DataSet (AHEAD-DS) is an audio dataset labelled with audiologically relevant scene categories for hearing aids. |
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* [Website](https://github.com/Australian-Future-Hearing-Initiative) |
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* [Paper](https://arxiv.org/abs/2508.10360) |
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* [Code](https://github.com/Australian-Future-Hearing-Initiative/prism-ml/prism-ml-yamnetp-tune) |
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* [Dataset AHEAD-DS](https://huggingface.co/datasets/hzhongresearch/ahead_ds) |
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* [Dataset AHEAD-DS unmixed](https://huggingface.co/datasets/hzhongresearch/ahead_ds_unmixed) |
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* [Models](https://huggingface.co/hzhongresearch/yamnetp_ahead_ds) |
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## Description of data |
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All files are encoded as single channel WAV, 16 bit signed, sampled at 16 kHz with 10 seconds per recording. |
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| Category | Training | Validation | Testing | All | |
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|:----------------------------------|:---------|:-----------|:--------|:-----| |
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| cocktail_party | 934 | 134 | 266 | 1334 | |
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| interfering_speakers | 733 | 105 | 209 | 1047 | |
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| in_traffic | 370 | 53 | 105 | 528 | |
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| in_vehicle | 409 | 59 | 116 | 584 | |
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| music | 1047 | 150 | 299 | 1496 | |
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| quiet_indoors | 368 | 53 | 104 | 525 | |
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| reverberant_environment | 156 | 22 | 44 | 222 | |
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| wind_turbulence | 307 | 44 | 88 | 439 | |
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| speech_in_traffic | 370 | 53 | 105 | 528 | |
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| speech_in_vehicle | 409 | 59 | 116 | 584 | |
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| speech_in_music | 1047 | 150 | 299 | 1496 | |
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| speech_in_quiet_indoors | 368 | 53 | 104 | 525 | |
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| speech_in_reverberant_environment | 155 | 22 | 44 | 221 | |
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| speech_in_wind_turbulence | 307 | 44 | 88 | 439 | |
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| Total | 6980 | 1001 | 1987 | 9968 | |
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# Licence |
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Licenced under CC BY-SA 4.0. See [LICENCE.txt](LICENCE.txt). |
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AHEAD-DS was derived from [HEAR-DS](https://www.hz-ol.de/en/hear-ds.html) (CC0 licence) and [CHiME 6 dev](https://openslr.org/150/) (CC BY-SA 4.0 licence). If you use this work, please cite the following publications. |
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Attribution. |
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``` |
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@article{zhong2025dataset, |
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title={A dataset and model for recognition of audiologically relevant environments for hearing aids: AHEAD-DS and YAMNet+}, |
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author={Zhong, Henry and Buchholz, J{\"o}rg M and Maclaren, Julian and Carlile, Simon and Lyon, Richard}, |
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journal={arXiv preprint arXiv:2508.10360}, |
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year={2025} |
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} |
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``` |
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HEAR-DS attribution. |
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``` |
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@inproceedings{huwel2020hearing, |
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title={Hearing aid research data set for acoustic environment recognition}, |
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author={H{\"u}wel, Andreas and Adilo{\u{g}}lu, Kamil and Bach, J{\"o}rg-Hendrik}, |
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booktitle={ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
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pages={706--710}, |
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year={2020}, |
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organization={IEEE} |
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} |
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``` |
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CHiME 6 attribution. |
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``` |
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@inproceedings{barker18_interspeech, |
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author={Jon Barker and Shinji Watanabe and Emmanuel Vincent and Jan Trmal}, |
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title={{The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines}}, |
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year=2018, |
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booktitle={Proc. Interspeech 2018}, |
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pages={1561--1565}, |
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doi={10.21437/Interspeech.2018-1768} |
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} |
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@inproceedings{watanabe2020chime, |
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title={CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings}, |
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author={Watanabe, Shinji and Mandel, Michael and Barker, Jon and Vincent, Emmanuel and Arora, Ashish and Chang, Xuankai and Khudanpur, Sanjeev and Manohar, Vimal and Povey, Daniel and Raj, Desh and others}, |
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booktitle={CHiME 2020-6th International Workshop on Speech Processing in Everyday Environments}, |
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year={2020} |
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} |
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``` |
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