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Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research
In this paper we describe the Portuguese-language podcast dataset we have released for academic research purposes.
The Contribution of Lyrics and Acoustics to Collaborative Understanding of Mood
We find that a pretrained transformer-based language model in a zero-shot setting -- i. e., out of the box with no further training on our data -- is powerful for capturing song-mood associations.
Automatic In-the-wild Dataset Annotation with Deep Generalized Multiple Instance Learning
The automation of the diagnosis and monitoring of speech affecting diseases in real life situations, such as Depression or Parkinson{'}s disease, depends on the existence of rich and large datasets that resemble real life conditions, such as those collected from in-the-wild multimedia repositories like YouTube.
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