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Found 4 papers, 3 papers with code
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
With specificity fixed at the average specificity achieved by cardiologists, the sensitivity of the DNN exceeded the average cardiologist sensitivity for all rhythm classes.
Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
We develop an algorithm which exceeds the performance of board certified cardiologists in detecting a wide range of heart arrhythmias from electrocardiograms recorded with a single-lead wearable monitor.
First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs
This approach to decoding enables first-pass speech recognition with a language model, completely unaided by the cumbersome infrastructure of HMM-based systems.
Building DNN Acoustic Models for Large Vocabulary Speech Recognition
We compare standard DNNs to convolutional networks, and present the first experiments using locally-connected, untied neural networks for acoustic modeling.
Ranked #11 on
Speech Recognition
on swb_hub_500 WER fullSWBCH
