UncommonVoice is a freely-available dataset of crowd-sourced voice disorder speech from 57 speakers. Spasmodic Dysphonia (SD) is the primary voice disorder represented in this dataset, however, the collection was not limited to only SD voices.
With an aim towards playlist discovery and recommendation, we leverage sequence-to-sequence modeling to learn a fixed-length representation of playlists in an unsupervised manner.
Content taken from our paper titled “Representation, Exploration, and Recommendation Of Music Playlists”
Teaching a car to drive autonomously using computer vision and deep learning.
German Traffic Sign classification using deep learning.