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hzhongresearch/ahead_ds_unmixed

Another HEaring AiD DataSet (AHEAD-DS) unmixed Another HEaring AiD DataSet (AHEAD-DS) unmixed is an audio dataset labelled with audiologically relevant scene categories for hearing aids. This dataset contains the environment and speech sounds before they were mixed. The file ahead_ds_unmixed.csv documents the details of every file. Website Paper Code Dataset AHEAD-DS Dataset AHEAD-DS unmixed Models Description of data All files are encoded as single channel WAV… See the full description on the dataset page: https://huggingface.co/datasets/hzhongresearch/ahead_ds_unmixed.

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Another HEaring AiD DataSet (AHEAD-DS) unmixed

Another HEaring AiD DataSet (AHEAD-DS) unmixed is an audio dataset labelled with audiologically relevant scene categories for hearing aids. This dataset contains the environment and speech sounds before they were mixed. The file aheaddsunmixed.csv documents the details of every file.

Description of data

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

file_association	Description
cocktail_party	cocktail_party sounds
interfering_speakers	interfering_speakers sounds
in_traffic	in_traffic sounds
in_vehicle	in_vehicle sounds
music	music sounds
quiet_indoors	quiet_indoors sounds
reverberant_environment	reverberant_environment sounds
wind_turbulence	wind_turbulence sounds
intrafficenv	speechintraffic environment sounds
invehicleenv	speechinvehicle environment sounds
music_env	speechinmusic environment sounds
quietindoorsenv	speechinquiet_indoors environment sounds
reverberantenvironmentenv	speechinreverberant_environment sounds
windturbulenceenv	speechinwind_turbulence environment sounds
intrafficspeech	speechintraffic speech
invehiclespeech	speechinvehicle speech
music_speech	speechinmusic speech
quietindoorsspeech	speechinquiet_indoors speech
reverberantenvironmentspeech	speechinreverberant_environment speech
windturbulencespeech	speechinwind_turbulence speech

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}
}