Mar 4, 2024 · Through linear probes, we establish HeAR as a state-of-the-art health audio embedding model on a benchmark of 33 health acoustic tasks across 6 ...
We develop HeAR, a scalable self-supervised learning-based deep learning system using masked autoencoders trained on a large dataset of 313 million two-second ...
Aug 19, 2024 · A bioacoustic foundation model designed to help researchers build models that can listen to human sounds and flag early signs of disease.
Aug 24, 2024 · The health acoustic event detector, a CNN, identifies six non-speech health events like coughing and breathing. HeAR is trained on a large ...
This document describes how to obtain embeddings from HeAR, the health acoustic foundation model developed at Google Research described in this paper.
Aug 20, 2024 · Google has announced that its HeAR model (Health Acoustic Representations), a pioneering AI system for analyzing health-related sounds, is now available to ...
HeAR is developed, a scalable self-supervised learning-based deep learning system using masked autoencoders trained on a large dataset of 313 million ...
Aug 30, 2024 · Google is developing AI that can hear if you're sick. Health Acoustic Representations, or HeAR, is being trained on 300 million pieces of audio.
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Aug 27, 2024 · Google launched the Health Acoustic Representations (HeAR), a bio-acoustic model specifically designed to examine sound patterns and ...