Enhanced RAVDESS Speech Dataset

<p>This is a modified version of the speech audio contained within the&nbsp;Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) dataset. The original dataset can be found <a href="https://zenodo.org/record/1188976#.YKvCMKhKhPY">here</a>. The unmodified version of just the speech audio used as source material for this dataset can be found <a href="https://www.kaggle.com/uwrfkaggler/ravdess-emotional-speech-audio">here</a>. This dataset performs speech enhancement and bandwidth extension on the original speech using HiFi-GAN. HiFi-GAN produces high-quality speech at 48 kHz that contains significantly less noise and reverb relative to the original recordings.</p> <p>If you use this work as part of an academic publication, please cite the papers corresponding to both the original dataset as well as HiFi-GAN:</p> <blockquote> <p>Livingstone SR, Russo FA (2018) The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English. PLoS ONE 13(5): e0196391.&nbsp;<a href="https://doi.org/10.1371/journal.pone.0196391">https://doi.org/10.1371/journal.pone.0196391</a>.</p> <p>Su, Jiaqi, Zeyu Jin, and Adam Finkelstein. &quot;HiFi-GAN: High-fidelity denoising and dereverberation based on speech deep features in adversarial networks.&quot; <em>Proc. Interspeech</em>. October 2020.</p> </blockquote> <p>Note that there are two recent papers with the name &quot;HiFi-GAN&quot;. Please be sure to cite the correct paper as listed here.</p>