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Thoidis, I., Vryzas, N., Vrysis, L., Kotsakis, R., Kalliris, G., & Dimoulas, C. (2022, May). Disentangled estimation of reverberation parameters using temporal convolutional networks. In Audio Engi…
Algorithm for blind estimation of reverberation time
A PyTorch Library for Multi-Task Learning
Unofficial PyTorch implementation of Music Source Separation with Band-split RNN
Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement
Ablation study of local spectral attention (LSA) for full-band speech enhancement (SE)
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Multi-channel speech enhancement system (MVDR beamformer + several postfilters)
Easy to use Beamformers for multi-channel speech separation/enhancement
The official repo: "McNet: Fuse Multiple Cues for Multichannel Speech Enhancement", ICASSP 2023
Official PyTorch implementation of the Interspeech 2023 paper
Noise supression using deep filtering
A unofficial Pytorch implementation of Microsoft's PHASEN
Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation
Complex Convolutional Neural Network (UNet) for Magnetic Reasonance Imaging (MRI) reconstruction
A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Production First and Production Ready End-to-End Speech Recognition Toolkit
speech enhancement\speech seperation\sound source localization