jonathangomesselman / CS230-Project
CS230 Final Project - Audio Super Resolution
☆13Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for CS230-Project
- Implementation of Learning Bandwidth Expansion Using Perceptually-Motivated Loss (ICASSP 2019)☆9Updated 2 years ago
- ☆29Updated 4 years ago
- ☆23Updated 2 years ago
- Consistent dictionary learning algorithm for signal declipping (Python code)☆19Updated 6 years ago
- Single Pass Spectrogram Inversion in a Jupyter Python notebook☆33Updated 7 years ago
- ☆17Updated 3 years ago
- Griffin-Lim Like Phase Recovery via Alternating Direction Method of Multipliers (Yoshiki Masuyama et al., 2018)☆12Updated 5 years ago
- Pytorch implementation of "A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences", Pranay Manocha et al. - un…☆61Updated 4 years ago
- Improved Speech Enhancement GANs☆11Updated 4 years ago
- simple, fast audio-super-resolution keras & tensorflow model. Ref) https://github.com/kuleshov/audio-super-res☆21Updated 6 years ago
- Joint Dictionary Learning-based Non-Negative Matrix Factorization for Voice Conversion (TBME 2016)☆22Updated 7 years ago
- ☆37Updated 4 years ago
- A small tool to calculate the distribution of audio durations in a directory☆14Updated last year
- ☆24Updated 5 years ago
- Generalized Minimal Distortion Principle for Blind Source Separation☆19Updated 4 years ago
- implement Wave-U-Net by pytorch☆56Updated 6 years ago
- Voice Conversion using Tacotron.☆11Updated last year
- SEGAN for bandwidth extension☆15Updated 5 years ago
- Code for the paper: Unified Gradient Reweighting for Model Biasing with Applications to Source Separation☆14Updated 3 years ago
- Real-time melgan based on cpu ！！！☆13Updated 4 years ago
- SRTNet☆24Updated last year
- Distributed semi-constrained microphone arrays☆29Updated 6 months ago
- PyTorch implementation for Deep Griffin-Lim Iteration paper(https://arxiv.org/abs/1903.03971)☆36Updated 5 years ago
- Codes of the paper: * Zhen-Hua Ling , Yang Ai, Yu Gu, and Li-Rong Dai, "Waveform Modeling and Generation Using Hierarchical Recurrent Neu…☆26Updated 6 years ago
- ☆0Updated 6 years ago
- A tensorflow implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis☆20Updated 5 years ago
- Implementation of Phase-aware speech enhancement with deep complex U-Net☆38Updated last year
- ☆10Updated 7 months ago
- A PyTorch implementation: "LASAFT-Net-v2: Listen, Attend and Separate by Attentively aggregating Frequency Transformation"☆33Updated 2 years ago