no code implementations • 11 Nov 2020 • Prithvi Suresh, Abhijith Ragav
This allows WaDeNet to learn from spectral features in an end-to-end manner, thus alleviating the need for feature extraction and successive modules that are currently present in speech processing systems.
no code implementations • 12 Oct 2020 • Prithvi Suresh, Naveen Narayanan, Chakilam Vijay Pranav, Vineeth Vijayaraghavan
Continuous monitoring of cardiac activity is paramount to understanding the functioning of the heart in addition to identifying precursors to conditions such as Atrial Fibrillation.
no code implementations • 14 Apr 2020 • Sricharan Vijayarangan, Prithvi Suresh, Preejith SP, Jayaraj Joseph, Mohansankar Sivaprakasam
Recently, a Machine Learning (ML) method was used to model reflectance waveforms onto SpO$_2$ obtained from transmittance waveforms.
no code implementations • 13 Apr 2020 • Gokul H., Prithvi Suresh, Hari Vignesh B, Pravin Kumaar R, Vineeth Vijayaraghavan
The smallest model size of the proposed resource efficient ML model was 1. 4 KB with an average recall score of 93. 58%.