Learning De-identified Representations of Prosody from Raw Audio

Autor: Weston, Jack, Lenain, Raphael, Meepegama, Udeepa, Fristed, Emil

Publikováno v: Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Proceedings of Machine Learning Research 139, PMLR 2021

We propose a method for learning de-identified prosody representations from raw audio using a contrastive self-supervised signal. Whereas prior work has relied on conditioning models on bottlenecks, we introduce a set of inductive biases that exploit

Externí odkaz: http://arxiv.org/abs/2107.08248

Surfboard: Audio Feature Extraction for Modern Machine Learning

Autor: Lenain, Raphael, Weston, Jack, Shivkumar, Abhishek, Fristed, Emil

We introduce Surfboard, an open-source Python library for extracting audio features with application to the medical domain. Surfboard is written with the aim of addressing pain points of existing libraries and facilitating joint use with modern machi

Externí odkaz: http://arxiv.org/abs/2005.08848

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Optimising speech‐testing to predict prodromal Alzheimer's disease: head‐to‐head comparison study of tasks and analysis methods.

Autor: Meepegama, Udeepa, Skirrow, Caroline, Weston, Jack, Ropacki, Michael T., Fristed, Emil

Publikováno v: Alzheimer's & Dementia: The Journal of the Alzheimer's Association; Dec2023 Supplement 11, Vol. 19 Issue 11, p1-3, 3p