{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## RIR Demo\n", "\n", "The goal of this notebook is to give an insight on the effect of the room's size and of the absorption coefficient on the Room Impulse Response.\n", "\n", "For this experiment, we will use a simple trapezoidal rooom with dimensions shown below.\n", "- if you choose a 'medium' sized room, all three dimensions are multiplied by 2.5\n", "- if you choose a 'large' sized room, all three dimensions are multiplied by 5\n", "\n", "The microphone has always the same relative position with respect to the dimensions of the room. Its radius ($0.15 m$) is constant in all scenarios.\n", "\n", "The absorption coefficient will be the same for every wall (including ceiling and floor):\n", "- 'high' absorption gives a coefficient of 0.7\n", "- 'medium' absorption gives a coefficient of 0.3\n", "- 'low' absorption gives a coefficient of 0.1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### We need the following imports" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from __future__ import print_function\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pyroomacoustics as pra\n", "from scipy.io import wavfile\n", "import IPython" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fs, audio_anechoic = wavfile.read('arctic_a0010.wav')\n", "IPython.display.display(IPython.display.Audio(audio_anechoic, rate=fs))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### The room looks like this" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'. Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n", "/Users/scheibler/anaconda3/envs/pyroomacoustics/lib/python3.7/site-packages/matplotlib/font_manager.py:1241: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans.\n", " (prop.get_family(), self.defaultFamily[fontext]))\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "pol = np.array([[0,0], [0,4], [3,2], [3,0]]).T\n", "room = pra.Room.from_corners(pol, fs=16000, max_order=10, absorption=0.1)\n", "\n", "# Adding the source\n", "room.add_source(np.array([1.8, 0.4]), signal=audio_anechoic)\n", "\n", "# Adding the microphone\n", "R = np.array([[0.5],[1.2],[0.5]])\n", "room.add_microphone_array(pra.MicrophoneArray(R, room.fs))\n", "\n", "room.plot()\n", "plt.title(\"2D shape of the room (the height of the room is 2 meters)\")\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### We are going to apply the RIR to the following audio file :" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Here is the function that will create the room in function of the desired size and absorption coefficient" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def get_rir(size='medium', absorption='medium'):\n", "\n", " \n", " if absorption=='high':\n", " absor = 0.7\n", " elif absorption=='medium':\n", " absor = 0.3\n", " elif absorption=='low':\n", " absor = 0.1\n", " else:\n", " raise ValueError(\"The absorption parameter can only take values ['low', 'medium', 'high']\")\n", " \n", " if size=='large':\n", " size_coef = 5.\n", " elif size=='medium':\n", " size_coef = 2.5\n", " elif size=='small':\n", " size_coef = 1.\n", " else:\n", " raise ValueError(\"The size parameter can only take values ['small', 'medium', 'large']\")\n", " \n", " \n", " pol = size_coef * np.array([[0,0], [0,4], [3,2], [3,0]]).T\n", " room = pra.Room.from_corners(pol, fs=16000, max_order=10, absorption=absor)\n", "\n", " # Create the 3D room by extruding the 2D by a specific height\n", " room.extrude(size_coef * 2.5, absorption=absor)\n", "\n", " # Adding the source\n", " room.add_source(size_coef * np.array([1.8, 0.4, 1.6]), signal=audio_anechoic)\n", "\n", " # Adding the microphone\n", " R = size_coef * np.array([[0.5],[1.2],[0.5]])\n", " room.add_microphone_array(pra.MicrophoneArray(R, room.fs))\n", "\n", " # Compute the RIR using the hybrid method\n", " room.compute_rir(mode='hybrid', nb_thetas=500, nb_phis=500, scatter_coef=0.)\n", "\n", " # Plot and apply the RIR on the audio file\n", " room.plot_rir()\n", " plt.show()\n", " room.simulate()\n", " room.mic_array.to_wav('aaa.wav', norm=True, bitdepth=np.int16)\n", " \n", " # Display the audio file\n", " fs_result, result = wavfile.read('aaa.wav')\n", " IPython.display.display(IPython.display.Audio(result, rate=fs_result))\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Let's see the results for all the possible combination of the two parameters" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "get_rir(size='small', absorption='low')" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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\n", 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\n", 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