Audio Recovery (Project 11)

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Audio Recovery (Project 11) Lillian Du, Linda Du, Ryan Liu, Saurav Kadavath March 5th, 2019 Stat 157

Project Idea: Audio Recovery Fill in missing samples from an audio clip Inspiration from neural inpainting: interpolating what belongs in the middle of an image

Data Collection and Processing Collected ~100 GB of open source audio files (Archive.org, MedleyDB2.0) Preprocessed to create features and labels in a DataLoader object Trim to equal length, drop middle samples, apply Fourier transform

Network Architecture Basing CNN model off of the diagram below Using a cubic B-spline to interpolate values (SPLINTER library) Using signal-to-noise ratio (SNR) and log-spectral distance (LSD) as loss metrics