liqingchunnnn / Only-Noisy-Training
A self-supervised speech denoising strategy named Only-Noisy Training (ONT), which solves the speech denoising problem with only noisy audio signals in audio space for the first time.
☆65Updated last year
Alternatives and similar repositories for Only-Noisy-Training:
Users that are interested in Only-Noisy-Training are comparing it to the libraries listed below
- Perceptual Contrast Stretching on Target Feature for Speech Enhancement (Accepted by INTERSPEECH 2022)☆57Updated 9 months ago
- DNN-based SE in the frequency domain using Pytorch. You can test some state-of-the-art networks using T-F masking or spectral mapping met…☆53Updated 2 years ago
- Nested U-Net with two-level skip connections for speech enhancement☆32Updated last year
- The implementation of "X-TF-GridNet: A Time-Frequency Domain Target Speaker Extraction Network with Adaptive Speaker Embedding Fusion", w…☆47Updated 4 months ago
- This repository contains the audio samples for "D2Former: A Fully Complex Dual-Path Dual-Decoder Conformer Network using Joint Complex Ma…☆38Updated last year
- Speech Enhancement Metrics (PESQ, CSIG, CBAK, COVL)☆68Updated 4 years ago
- ☆69Updated 2 years ago
- An implementation of audio source separation tools.☆79Updated 2 years ago
- A Diffusion Probabilistic Model for Target Sound Extraction☆36Updated 4 months ago
- Keep track of good articles on speech processing, mainly on speech enhancement, include speech denoise, speech dereverberation and aec、ag…☆43Updated 7 months ago
- speech enhancement metrics：CSIG, CBAK, CMOS, SSNR, PESQ, STOI, ESTOI, SNR, IS, LLR, WSS☆63Updated last year
- ☆97Updated last year
- ☆41Updated 8 months ago
- A training code template for DNN-based speech enhancement.☆67Updated last week
- ☆46Updated 5 months ago
- ☆28Updated 9 months ago
- Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation☆101Updated 2 years ago
- Fully Quantized Neural Networks For Speech Enhancement☆61Updated last year
- The implementation of "Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement"☆115Updated 2 years ago
- The audio demos with respect to the paper "DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention tra…☆26Updated 2 years ago
- DCCRN with various loss functions☆94Updated 2 years ago
- TCNN Temporal convolutional neural network for real-time speech enhancement in the time domain☆48Updated 2 years ago
- A fast implementation of bss_eval metrics for blind source separation☆134Updated 2 years ago
- Official Pytorch implementation of PULSE: Positive–Unlabelled Learning for audio Signal Enhancement (Best Paper Award at ICASSP 2023)☆41Updated last year
- wsj0-{2, 3, 4, 5} mix generation scripts, in Python.☆55Updated 3 years ago
- Official code for MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enh…☆32Updated 7 months ago
- ☆50Updated 3 years ago
- transformer based neural network for speech enhancement in time domain☆67Updated 2 years ago
- BAE-NET: A LOW COMPLEXITY AND HIGH FIDELITY BANDWIDTH-ADAPTIVE NEURAL NETWORK FOR SPEECH SUPER-RESOLUTION☆67Updated 6 months ago
- This is the code and dataset repo for Interspeech 2024 paper "Target conversation extraction: Source separation using turn-taking dynamic…☆45Updated 4 months ago