spxen Goto Github PK
Name: spxen
Type: User
Company: China
Bio: speech enhancement based on dsp and deep learning
Location: Beijing
Name: spxen
Type: User
Company: China
Bio: speech enhancement based on dsp and deep learning
Location: Beijing
The PyTorch-based audio source separation toolkit for researchers || Pretrained models available
Matlab files for various types of beamforming
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)
Implementation of DDSP (PyTorch), Differentiable Digital Signal Processing (ICLR 2020)
Implementation of Deep Complex UNet Using PyTorch
An implementation of a sound dereverberation algorithm by Gilbert Soulodre
This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch
A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".
A speech dereverberation algorithm, also called wpe
Python library for Room Impulse Response (RIR) simulation with GPU acceleration
Repository for our Interspeech2020 general-purpose voice activity detection (GPVAD) paper
Multi-channel speech enhancement system (MVDR beamformer + several postfilters)
A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation
Import of the code released by Microsoft Research
Different implementations of "Weighted Prediction Error" for speech dereverberation
NISQA - Non-Intrusive Speech Quality Assessment
STOI loss function in PyTorch
Room impulse response simulator using python
Recurrent neural network for audio noise reduction
Single and multichannel sound event detection using convolutional recurrent neural networks. DCASE 2017 real-life sound event detection winning method.
Speech Enhancement Generative Adversarial Network in PyTorch
Tools for Speech Enhancement integrated with Kaldi
Agora Solo is an open source speech codec, it was developed based on Silk with BWE(Bandwidth Extension) and MDC(Multi Description Coding). With these technologies, Solo is enable to resist weak networks at low bitrates.
A must-read paper for speech separation based on neural networks
Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF
transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.
Fast Audio Dereverberation MATLAB System
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.