commit data

LICENCE.txt

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README.md

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+---
+language:
+- en
+license: cc-by-sa-4.0
+tags:
+- audio
+task_categories:
+- audio-classification
+---
+
+# 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.
+
+## 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 |
+
+## Links
+The code, data and paper can be downloaded from the following page.
+
+```
+https://hzhongresearch.github.io/
+```
+
+## Licence
+Copyright 2025 HENRY ZHONG. The dataset is licenced under CC BY-SA 4.0. See [LICENCE.txt](LICENCE.txt).
+
+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.
+
+AHEAD-DS attribution.
+
+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}
+}
+```

ahead_ds_validation.csv

@@ -0,0 +1,1002 @@
+files,cocktail_party,interfering_speakers,in_traffic,in_vehicle,music,quiet_indoors,reverberant_environment,wind_turbulence,speech_in_traffic,speech_in_vehicle,speech_in_music,speech_in_quiet_indoors,speech_in_reverberant_environment,speech_in_wind_turbulence
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