# room-simulation

**Repository Path**: shirlim/room-simulation

## Basic Information

- **Project Name**: room-simulation
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-10
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Room impulse response generation code

Supporting code for the paper ["A study on more realistic room simulation for far-field keyword spotting"](http://arxiv.org/abs/2006.02774).

Measured RIR dataset can be downloaded [here](https://speech.fit.vutbr.cz/software/but-speech-fit-reverb-database).

## Installation

First install Python dependencies:
```bash
pip install -r requirements.txt
```

Then install code for room impulse response generation:
```bash
# pyroomacoustics
pip install pyroomacoustics
# pygsound
pip install git+https://github.com/RoyJames/pygsound
```

For `pygsound`, please refer to their [project page](https://github.com/RoyJames/pygsound)
for additional dependencies to install.

## Scripts

Compare computation time between `pyroomacoustics` and `pygsound`: 
- Varying number of rays: `profile_nrays.py`
- Varying number of specular reflections / ISM order: `profile_ism_order.py`

Preparing RIR datasets:
- Split [original data](https://speech.fit.vutbr.cz/software/but-speech-fit-reverb-database) into train and dev sets: `create_measured_room_data_split.py`
- Simulate measured rooms based on metadata: `simulate_measured_room_dataset.py`