Acoustics Projects
Explore guided student projects in Acoustics. Build hands-on skills with real aerospace tools and data.
3 projects
Combine with other filters →Measure and Classify Sounds Around an Airport with Python
Record real-world sounds and teach a computer to tell them apart
Record or download airport-area sounds — jet engines, propeller aircraft, ground vehicles, birdsong — and train a scikit-learn classifier to distinguish sound types using simple audio features extracted with librosa. A hands-on introduction to audio machine learning.
Start Project → AI/MLPredict Aircraft Noise Levels with Neural Networks
Use NASA wind tunnel data to predict how loud an airfoil is
Use the NASA Airfoil Self-Noise dataset from the UCI Machine Learning Repository to train a neural network that predicts sound pressure level from airfoil geometry, wind speed, and angle of attack. A clean regression problem connecting aeroacoustics with deep learning.
Start Project → AI/MLEngine Sound Anomaly Detection with Autoencoders
Teach a neural network what normal sounds like — then catch everything else
Train a convolutional autoencoder on mel-spectrograms of normal engine audio to detect anomalous sounds using reconstruction error as the anomaly score. Addresses the practical challenge of detecting unknown fault types without labeled failure data.
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