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}


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@misc {RAVDESS-citations-cnt,
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  keywords = {Sound (cs.SD), Computation and Language (cs.CL), Audio and Speech Processing (eess.AS), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
  
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@misc{quantifying-the-carbon-emissions-of-ml,
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@misc{carbontracker,
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@misc{direct-modelling-of-speech-emotion-from-raw-speech,
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  keywords = {Affective computing, Dilated convolutional neural network, Real-time speech emotion recognition, Parallel learning, Multi-learning trick (MLT), And raw audio clips},
}

@misc{vision-transformer,
  doi = {10.48550/ARXIV.2010.11929},
  url = {https://arxiv.org/abs/2010.11929},
  author = {Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and Uszkoreit, Jakob and Houlsby, Neil},
  keywords = {Computer Vision and Pattern Recognition (cs.CV), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale},
  publisher = {arXiv},
  year = {2020}, 
  copyright = {arXiv.org perpetual, non-exclusive license}
}


@misc{audio-spectrogram-transformer,
  doi = {10.48550/ARXIV.2104.01778},
  url = {https://arxiv.org/abs/2104.01778},
  author = {Gong, Yuan and Chung, Yu-An and Glass, James},
  keywords = {Sound (cs.SD), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {AST: Audio Spectrogram Transformer},
  publisher = {arXiv},
  year = {2021},
  copyright = {Creative Commons Attribution 4.0 International}
}

@inproceedings{emovo,
  title={EMOVO corpus: an Italian emotional speech database},
  author={Costantini, Giovanni and Iaderola, Iacopo and Paoloni, Andrea and Todisco, Massimiliano and others},
  booktitle={Proceedings of the ninth international conference on language resources and evaluation (LREC'14)},
  pages={3501--3504},
  year={2014},
  organization={European Language Resources Association (ELRA)}
}

@data{tess-dataset,
author = {Pichora-Fuller, M. Kathleen and Dupuis, Kate},
publisher = {Borealis},
title = {{Toronto emotional speech set (TESS)}},
year = {2020},
version = {DRAFT VERSION},
doi = {10.5683/SP2/E8H2MF},
url = {https://doi.org/10.5683/SP2/E8H2MF}
}

@misc{devlin2019bert,
      title={BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding}, 
      author={Jacob Devlin and Ming-Wei Chang and Kenton Lee and Kristina Toutanova},
      year={2019},
      eprint={1810.04805},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{wen2022ctlmtnet,
      title={CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition}, 
      author={Xin-Cheng Wen and Jia-Xin Ye and Yan Luo and Yong Xu and Xuan-Ze Wang and Chang-Li Wu and Kun-Hong Liu},
      year={2022},
      eprint={2207.10644},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@article{MSP-Podcast,
	author = {R. Lotfian and C. Busso},
	title = {Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech From Existing Podcast Recordings},
	journal = {IEEE Transactions on Affective Computing},
	volume = {10},
	number = {4},
	year = {2019},
	pages = {471-483},
	month = {October-December},
	doi={10.1109/TAFFC.2017.2736999},
}

