MISOnet

Unofficial Pytorch Multi-microphone complex spectral mapping for utterance-wise and continuous speech separation(MISO-BF-MISO) https://arxiv.org/abs/2010.01703

Todo

[x] MISO1 implementation (seperation Network)
[x] Speaker Alignment System
[x] MVDR implementation
[x] MISO3 implementatino (enhancement Network)
[ ] Speaker counting Network
[x] SMS-WSJ Dataset generation
[ ] LibriCSS Dataset generation

Requirements

Python>=3.8.0
Pytorch>=1.10.0
(optional) virtualenv

Training

(Optional) Setup Virtualenv

sudo pip3 install virtualenv
virtualenv -p python3 venv
source venv/bin/activate

Setup python packages environments
```
pip install -r requirements.txt
```
Run (todo)
```
python run.py --config=./config
```
Spectrogram # Example of 3_441c040w_445c040o_0.wav amoung test_eval92 (sms_wsj)
- Obervation