Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech

Implementation of the paper Filtered Noise Shaping for Time Domain Room Impulse Response Estimation From Reverberant Speech.

This is a model that does blind estimation of room impulse response from reverberant speech.

Setup

In the environment of your choice,

pip install -e .
pip install -r requirements.txt 

Dataset

Integrate your dataset by modifying the code fins/dataset/process_data.py and check it by

python fins/data/process_data.py

Example is given with a subset(fold01) of the BIRD dataset and DAPS speech dataset.

Train

python -m fins.main

Notes

• This is not the author's implementation, so little details, such as processing data, will be different.