- Mountain View, CA
Highlights
- Pro
Stars
Implementation of the Wave-U-Net for audio source separation
Music repair method to convert lossy MP3 compressed music to lossless music.
HyMPS will be a platform-indipendent software suite for advanced audio/video contents production.
Wavelets Neural Network Study with Tensorflow
Mp3 to wav super resolution model for audio restoration & enhancement. U-Net + Discrete Wavelet Transform (DWT) Architecture
FastWave is a lightweight diffusion model for general audio super-resolution (any -> 48 kHz). SOTA quality reconstruction metrics with just 1.3 M parameters and ~50 GFLOPs
A Python framework for immersive spatial audio simulation and education.
Audio Super Resolution model to decompress mp3 into wav file with recovered frequencies built on a "ResUNet" style architecture
Implementation of the Dirichlet Kernel Deconvolution algorithm for precise FFT parameter estimation and near-perfect elimination of spectral leakage. Additionally includes the "Cleaned" STFT and th…
CSCI 1470 Final Project -- Wavelet-based Deep Learning Stem Splitter
Uses Constant Q Transform assisted transient detection along with KMeans clustering with silhouette score to identify different types of transients in an audio file based off Mel Spectrogram analys…
Analyzes a user's Spotify profile and returns the most typical song on each of their playlists. Made with FastAPI and Next.js
matthewmcq / upscalemp3_v2_OLD
Forked from rmeghji/parrotfishVersion 2.0 Mp3 -> wav super resolution model
Audio source separation + visual speaker identification using the discrete wavelet transform