An advanced acoustic scene analysis project focused on urban sound event detection. The system leverages deep learning architectures (CNN and TCN) to classify environmental sounds from the SONYC Urban Sound Tagging (SONYC-UST) dataset. This project represents a complete pipeline for audio processing, feature extraction, model training, and urban noise classification.
This project implements a Virtual Surround Sound (VSS) system using the SADIE HRTF database. The system processes 5.1 surround audio to create both a binaural output for headphone listening and a standard stereo downmix.
Simulation of Bilateral Sudden Sensorineural Hearing Loss (SSNHL) in MATLAB for Physical Acoustics in Directional Hearing.
A simple React Native application written in TypeScript that allows users to search for music and listen to short previews.
Bluetooth Low Energy implementation for Arduino-based projects and devices.
Created the MATLAB@NYU website, a resource for MATLAB and Simulink users at NYU.