leekh7411 / Fast-Audio-Super-Resolution
simple, fast audio-super-resolution keras & tensorflow model. Ref) https://github.com/kuleshov/audio-super-res
☆21Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Fast-Audio-Super-Resolution
- Audio Super Resolution in Python3 with Tensorflow 1.5.0 (ref. https://kuleshov.github.io/audio-super-res/)☆11Updated 6 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
- SEGAN for bandwidth extension☆15Updated 5 years ago
- Single Pass Spectrogram Inversion in a Jupyter Python notebook☆33Updated 7 years ago
- Pitch shifter using WSOLA and resampling implemented by Python3☆37Updated 7 years ago
- Pytorch implementation of "A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences", Pranay Manocha et al. - un…☆61Updated 4 years ago
- Code for ISMIR 2020 paper: "Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks"☆54Updated this week
- Pitch-shifting, time-stretching, and vocoding of speech with Controllable LPCNet (CLPCNet)☆148Updated 2 years ago
- ☆39Updated last year
- ☆44Updated 2 years ago
- Comparison of speech enhancement/denoising models☆12Updated last year
- Universal Deep neural network based speech enhancement demo and tools, well pre-trained DNN model☆64Updated last year
- This is a curated list of awesome Speech Bandwidth Extension tutorials, papers, libraries, datasets, tools, scripts and results. The purp…☆62Updated 4 years ago
- ☆61Updated 7 months ago
- ☆24Updated 5 years ago
- Official repo for "A MODULATION-DOMAIN LOSS FOR NEURAL-NETWORK-BASED REAL-TIME SPEECH ENHANCEMENT" to appear in ICASSP 2021☆38Updated 3 years ago
- ☆24Updated 6 years ago
- Implementation of Learning Bandwidth Expansion Using Perceptually-Motivated Loss (ICASSP 2019)☆9Updated 2 years ago
- Upsampling Artifacts in Neural Audio Synthesis – https://arxiv.org/abs/2010.14356☆76Updated 3 years ago
- A context encoder for audio inpainting☆25Updated last year
- Code for our paper "VaPar Synth - A Variational Parametric Model for Audio Synthesis"☆32Updated 4 years ago
- Unsupervised Representation Learning for Singing Voice Separation☆21Updated last year
- Quasi-Periodic Parallel WaveGAN Pytorch implementation☆46Updated 2 years ago
- spectrogram inversion tools in PyTorch. Documentation: https://spectrogram-inversion.readthedocs.io☆46Updated last year
- This repository contains the audio samples and the source code that accompany the paper: "MixCycle: Unsupervised Speech Separation via Cy…☆23Updated last year
- NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling☆37Updated 3 years ago
- A two step optimization for sound source separation on the adaptive front-end domain☆67Updated 4 years ago
- A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.☆64Updated 5 years ago
- Pytorch: Channel-wise subband (CWS) input for better voice and accompaniment separation☆94Updated 3 years ago
- Evaluation and Benchmarking of Speech Super-resolution Methods☆141Updated 2 years ago