HCU400 - Overview

The dataset consists of the features associated with 402 5-second sound samples. Detailed descriptions of the features can be found in our papers listed below; please cite them if you wish to use this data.

References

Ananthabhotla, I., Ramsay, D.B., and Paradiso, J.A. HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty. Proceedings of the Internation Conference on Acoustics, Speech, and Signal Processing, February 2019.

@inproceedings{ananthabhotla2019hcu400,
  title={HCU400: An Annotated Dataset for Exploring Aural Phenomenology Through Causal Uncertainty},
  author={Ananthabhotla, Ishwarya and Ramsay, David B and Paradiso, Joseph A},
  booktitle={ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={920--924},
  year={2019},
  organization={IEEE}
}

Ramsay, D.B., Ananthabhotla, I., and Paradiso, J.A. The Intrinsic Memorability of Everyday Sounds. Proceedings of the AES International Conference on Immersive and Interactive Audio, January 2019.

@inproceedings{ramsay2019intrinsic,
  title={The Intrinsic Memorability of Everyday Sounds},
  author={Ramsay, David and Ananthabhotla, Ishwarya and Paradiso, Joseph},
  booktitle={Audio Engineering Society Conference: 2019 AES International Conference on Immersive and Interactive Audio},
  year={2019},
  organization={Audio Engineering Society}
}

Source Access

To obtain access to the audio source, please complete the request form. You will have access upon completion. The authors of the work can be reached at resenv-audio@mit.edu with further questions.

Memory Game Data

For the memory game data that accompanies this dataset, please see the HCU400-Memory-Game-Data repo.