Deep Neural Networks for Speech Enhancement on Resource-Constrained Devices
Design, train, optimize and deploy deep neural network models in pytorch and tensorflow for noise suppression with low latency for embedded devices (hearing aid devices)
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Audio-Based Cough Detection in Clinic Waiting Rooms
Cough detector for clinic waiting rooms using deep learning techniques using tensorflow to identify coughs sounds and estimates the number of patients who report cough as a symptom during their clinic visit as a surveillance tool for respiratory disease outbreak.
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Personalizing over-the-counter hearing aids using pairwise comparisons
Developed optimization technique of hearing aid configurations based on patients’ feedback and multi-arm bandit algorithms
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