aspire-osu/iub-dataset

Dataset Card for IUB

This folder contains the audio clips and subjective data (human MOS on speech quality) collected for COSINE and VOiCES (available here) datasets as part of a listening study conducted at Indiana University in 2021.

Citation

BibTeX:

@inproceedings{dong20_interspeech,
  title     = {{A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals}},
  author    = {Dong, Xuan and Williamson, Donald S.},
  year      = {2020},
  booktitle = {{Interspeech 2020}},
  pages     = {4631--4635},
  doi       = {10.21437/Interspeech.2020-2809},
  issn      = {2958-1796},
}

@inproceedings{iub-dataset,
  title     = {{An End-To-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task Framework}}, 
  author    = {Zhang, Zhuohuang and Vyas, Piyush and Dong, Xuan and Williamson, Donald S.},
  year      = {2021},
  booktitle = {{ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}}, 
  pages     = {316--320},
  doi       = {10.1109/ICASSP39728.2021.9414182},
  issn      = {2379-190X}
}

APA:

• Dong, X., Williamson, D.S. (2020) A Pyramid Recurrent Network for Predicting Crowdsourced Speech-Quality Ratings of Real-World Signals. Proc. Interspeech 2020, 4631-4635, doi: 10.21437/Interspeech.2020-2809
• Zhang, Z., Vyas, P., Williamson, D.S. (2021) An End-to-End Non-Intrusive Model for Subjective and Objective Real-World Speech Assessment Using a Multi-Task Framework. Proc. ICASSP 2021, 316-320, doi: 10.1109/ICASSP39728.2021.9414182