hzhongresearch/ahead_ds

Another HEaring AiD DataSet (AHEAD-DS)

Another HEaring AiD DataSet (AHEAD-DS) is an audio dataset labelled with audiologically relevant scene categories for hearing aids.

• Website
• Paper
• Code
• Dataset AHEAD-DS
• Dataset AHEAD-DS unmixed
• Models

Description of data

All files are encoded as single channel WAV, 16 bit signed, sampled at 16 kHz with 10 seconds per recording.

Category	Training	Validation	Testing	All
cocktail_party	934	134	266	1334
interfering_speakers	733	105	209	1047
in_traffic	370	53	105	528
in_vehicle	409	59	116	584
music	1047	150	299	1496
quiet_indoors	368	53	104	525
reverberant_environment	156	22	44	222
wind_turbulence	307	44	88	439
speech_in_traffic	370	53	105	528
speech_in_vehicle	409	59	116	584
speech_in_music	1047	150	299	1496
speech_in_quiet_indoors	368	53	104	525
speech_in_reverberant_environment	155	22	44	221
speech_in_wind_turbulence	307	44	88	439
Total	6980	1001	1987	9968

Licence

Licenced under CC BY-SA 4.0. See LICENCE.txt.

AHEAD-DS was derived from HEAR-DS (CC0 licence) and CHiME 6 dev (CC BY-SA 4.0 licence). If you use this work, please cite the following publications.

Attribution.

@misc{zhong2026datasetmodelauditoryscene,
      title={A dataset and model for auditory scene recognition for hearing devices: AHEAD-DS and OpenYAMNet}, 
      author={Henry Zhong and Jörg M. Buchholz and Julian Maclaren and Simon Carlile and Richard Lyon},
      year={2026},
      eprint={2508.10360},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2508.10360}, 
}

HEAR-DS attribution.

@inproceedings{huwel2020hearing,
  title={Hearing aid research data set for acoustic environment recognition},
  author={H{\"u}wel, Andreas and Adilo{\u{g}}lu, Kamil and Bach, J{\"o}rg-Hendrik},
  booktitle={ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={706--710},
  year={2020},
  organization={IEEE}
}

CHiME 6 attribution.

@inproceedings{barker18_interspeech,
  author={Jon Barker and Shinji Watanabe and Emmanuel Vincent and Jan Trmal},
  title={{The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines}},
  year=2018,
  booktitle={Proc. Interspeech 2018},
  pages={1561--1565},
  doi={10.21437/Interspeech.2018-1768}
}

@inproceedings{watanabe2020chime,
  title={CHiME-6 Challenge: Tackling multispeaker speech recognition for unsegmented recordings},
  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},
  booktitle={CHiME 2020-6th International Workshop on Speech Processing in Everyday Environments},
  year={2020}
}