def main():
# define room
room_material = pra.Material(energy_absorption=0.1, scattering=None)
room_dim = [17, 6, 6]
room = pra.ShoeBox(room_dim, fs=16000, materials=room_material)
# define pipe
pipe_center = np.array(room_dim) / 2
pipe_faces = pra_utils.make_polygon(pipe_center, 1, 15, 4, [0, 1.57, 0])
pipe_material = pra.Material(energy_absorption=0.2, scattering=0.1)
pra_utils.add_obstacle(room, pipe_faces, pipe_material)
# define mics and sources
room.add_source([5, 3, 3])
room.add_microphone([5.05, 3, 3.])
room.image_source_model()
room.plot(img_order=1)
plt.gca().set_xlim3d(left=-1, right=18)
plt.gca().set_ylim3d(bottom=-1, top=18)
plt.gca().set_zlim3d(bottom=-1, top=18)
plt.show()
room.compute_rir()
room.plot_rir()
plt.show()
def main():
# define room
room_material = pra.Material(energy_absorption=0.96, scattering=None)
room_dim = [10, 10, 5]
room = pra.ShoeBox(room_dim,
fs=16000,
materials=room_material,
max_order=4,
ray_tracing=True,
air_absorption=True)
# define obstacle
obstacle_faces = make_polygon([3, 3, 2.5], 1, 4, 4, [0, 0, 0.78])
obstacle_material = pra.Material(energy_absorption=0.2, scattering=0.1)
add_obstacle(room, obstacle_faces, obstacle_material)
obstacle_faces = make_cylinder([6, 4, 2.5], 1.4, 5, [1.57, 0, 0])
add_obstacle(room, obstacle_faces, obstacle_material)
# define mics and sources
room.add_source([1.7, 3, 1.])
room.add_microphone([1.7, 3, 1.1])
room.image_source_model()
room.plot(img_order=1)
plt.gca().set_xlim3d(left=-2, right=11)
plt.gca().set_ylim3d(bottom=-2, top=11)
plt.gca().set_zlim3d(bottom=-2, top=11)
plt.show()
room.compute_rir()
room.plot_rir()
plt.show()
def empty_diff_walls():
"""Returns empty room with walls of different materials"""
# 4 side walls are absorptive
room_materials = [pra.Material(energy_absorption=0.1, scattering=None)] * 4
# floor and ceiling are reflective
room_materials.extend(
[pra.Material(energy_absorption=0.98, scattering=None)] * 2)
room_faces = make_polygon(centre=[0, 0, 2.5],
radius=10,
height=5,
N=4,
rpy=[0, 0, np.pi / 4])
# create room
walls = []
walls.extend(create_walls(room_faces, room_materials))
room = pra.Room(walls,
fs=fs,
max_order=3,
ray_tracing=False,
air_absorption=False)
room.add_source([-5, 2, 2.])
room.add_microphone([1, 0, 2.])
# compute rir
room.image_source_model()
room.compute_rir()
return room
def simulateSound(room_dim, R_loc, source_locations, source_audios, rt60, materials=None, max_order=None):
# source_audios: array of numpy array
# L: max of all audios. Zero padding at the end
# return (all_channel_data (C, L), groundtruth_with_reverb (N, C, L), groundtruth_data (N, C, L), angles (N)
if materials is not None:
(ceiling, east, west, north, south, floor) = materials
room = pra.ShoeBox(
room_dim,
fs=fs,
materials=pra.make_materials(
ceiling=ceiling,
floor=floor,
east=east,
west=west,
north=north,
south=south,
), max_order=max_order
)
else:
try:
e_absorption, max_order_rt60 = pra.inverse_sabine(rt60, room_dim)
except ValueError:
e_absorption, max_order_rt60 = pra.inverse_sabine(1, room_dim)
room = pra.ShoeBox(room_dim, fs=fs, materials=pra.Material(e_absorption), max_order=max_order_rt60)
R = generate_mic_array(R_MIC, N_MIC, R_loc)
room.add_microphone_array(pra.MicrophoneArray(R, room.fs))
length = max([len(source_audios[i]) for i in range(len(source_audios))])
for i in range(len(source_audios)):
source_audios[i] = np.pad(source_audios[i], (0, length - len(source_audios[i])), 'constant')
for i in range(len(source_locations)):
room.add_source(source_locations[i], signal=source_audios[i], delay=0)
room.image_source_model()
premix_w_reverb = room.simulate(return_premix=True)
mixed = room.mic_array.signals
# groundtruth
room_gt = pra.ShoeBox(room_dim, fs=fs, materials=pra.Material(1.0), max_order=0)
# R_gt=generate_mic_array(R_MIC, N_MIC, R_loc)
R_gt = generate_mic_array(0, 1, R_loc)
room_gt.add_microphone_array(pra.MicrophoneArray(R_gt, room.fs))
for i in range(len(source_locations)):
room_gt.add_source(source_locations[i], signal=source_audios[i], delay=0)
room_gt.compute_rir()
room_gt.image_source_model()
premix = room_gt.simulate(return_premix=True)
return (mixed, premix_w_reverb, premix, R)
def test_issue_22():
np.random.seed(0)
n_mics = 1
n_src = 1
n_times = 25000
dim = 3
mic_pos = np.random.rand(dim, n_mics)
abs_coeff = 0.1
e_abs = 1.0 - (1.0 - abs_coeff) ** 2
fs = 16000
wall_max_len = 15
room_dim = np.random.rand(dim) * wall_max_len
shoebox = pyroomacoustics.ShoeBox(
room_dim,
materials=pyroomacoustics.Material(e_abs),
fs=fs,
max_order=0,
)
src_pos = np.random.rand(dim, n_src) * room_dim[:, None]
for src in src_pos.T:
shoebox.add_source(src)
shoebox.add_microphone_array(pyroomacoustics.MicrophoneArray(mic_pos, fs))
for i in range(n_times):
shoebox.image_source_model()
if i != 0 and i % 1000 == 0:
print(i)
def simulateBackground(background_audio):
# diffused noise. simulate in a large room
bg_radius = np.random.uniform(low=10.0, high=20.0)
bg_theta = np.random.uniform(low=0, high=2 * np.pi)
H = 10
bg_loc = [bg_radius * np.cos(bg_theta), bg_radius * np.sin(bg_theta), H]
# Bg should be further away to be diffuse
left_wall = np.random.uniform(low=-40, high=-20)
right_wall = np.random.uniform(low=20, high=40)
top_wall = np.random.uniform(low=20, high=40)
bottom_wall = np.random.uniform(low=-40, high=-20)
height = np.random.uniform(low=20, high=40)
corners = np.array([[left_wall, bottom_wall], [left_wall, top_wall],
[right_wall, top_wall], [right_wall, bottom_wall]]).T
absorption = np.random.uniform(low=0.5, high=0.99)
room = pra.Room.from_corners(corners,
fs=fs,
max_order=10,
materials=pra.Material(absorption))
room.extrude(height)
mic_array = generate_mic_array(R_MIC, N_MIC, (0, 0, H))
room.add_microphone_array(pra.MicrophoneArray(mic_array, fs))
room.add_source(bg_loc, signal=background_audio)
room.image_source_model()
room.simulate()
return room.mic_array.signals
def empty_room():
"""returns an empty cuboidal room with source and mic somewhat in center"""
room_material = pra.Material(energy_absorption=0.6, scattering=None)
room_faces = make_polygon(centre=[0, 0, 2.5],
radius=10,
height=5,
N=4,
rpy=[0, 0, np.pi / 4])
# create room
walls = []
walls.extend(create_walls(room_faces, room_material))
room = pra.Room(walls,
fs=fs,
max_order=3,
ray_tracing=True,
air_absorption=False)
room.add_source([0, 0, 2.])
room.add_microphone([0, 0.2, 2.1])
# compute rir
room.image_source_model()
room.ray_tracing()
room.compute_rir()
return room
def test_issue_115_rt_breaking():
"""
As background, only ray tracing only starts to be active for rays that run
longer than the maximum ISM order.
The problem happen when the ISM order is very high (here 17),
then, in some circumstances, it is possible that no ray travels longer
than that. Then the histogram is empty and an error happen.
"""
print("Test with high order ISM")
shoebox = pra.ShoeBox(
[4.232053263716528, 3.9244954007318853, 5.563810437305445],
materials=pra.Material(energy_absorption=0.6965517438548237),
fs=16000,
max_order=17,
ray_tracing=True,
)
source_loc = [1.2028020579854695, 2.2980760894630676, 2.0654520390433984]
shoebox.add_source(source_loc)
R = np.array([[1.8062807887952617], [2.7793113278109454], [1.42966428606882]])
print(
"mic - source distance : {} m".format(
np.sqrt(sum((np.array(source_loc) - np.squeeze(R)) ** 2))
)
)
shoebox.add_microphone_array(pra.MicrophoneArray(R, shoebox.fs))
shoebox.compute_rir()
def get_rir(audio_signal,
fs,
rt60=0.2,
room_dim=[60, 60, 10],
room_source=[30, 30, 4.5],
mic_pos=[30, 10, 7],
T=19,
D=0.01,
S=35):
import pyroomacoustics as pra
import numpy as np
c = 1449.2 + 4.6 * T - 0.055 * T**2 + 0.0029 * T**3 + (1.34 - 0.01 * T) * (
S - 35) + 0.016 * D
e_absorption, max_order = pra.inverse_sabine(rt60, room_dim, c=c)
room = pra.ShoeBox(room_dim,
fs=fs,
materials=pra.Material(e_absorption),
ray_tracing=False,
max_order=3,
air_absorption=False)
room.add_source(room_source, signal=audio_signal, delay=1.0)
mic_locs = np.c_[mic_pos, # mic 1
]
room.add_microphone_array(mic_locs)
room.compute_rir()
rir = room.rir[0][0]
return rir
def get_rir(size, reverb):
# We construct a non-shoebox room
pol = size_opts[size]["mult"] * np.array([[0, 0], [0, 4], [3, 2], [3, 0]
]).T
mat = pra.Material(reverb_opts[reverb]["e_abs"])
room = pra.Room.from_corners(pol,
fs=16000,
max_order=2,
materials=mat,
ray_tracing=True)
# Create the 3D room by extruding the 2D by a specific height
room.extrude(size_opts[size]["mult"] * 2.5, materials=mat)
# set the ray tracing parameters
room.set_ray_tracing(
receiver_radius=size_opts[size]["receiver_radius"]) # , n_rays=100000)
# Adding the source
room.add_source(size_opts[size]["mult"] * np.array([1.8, 0.4, 1.6]),
signal=audio_anechoic)
# Adding the microphone
R = size_opts[size]["mult"] * np.array([[0.5], [1.2], [0.5]])
room.add_microphone_array(pra.MicrophoneArray(R, room.fs))
# Compute the RIR using the hybrid method
s = time.perf_counter()
room.compute_rir()
print("Computation time:", time.perf_counter() - s)
return room.rir[0][0], room
def test_issue_115_ism_breaking():
"""
When a source was too close to the microphone, the time-of-flight
might be smaller than the delay due to the fractionnal delay filter
used to create the impulse response.
It is then necessary to add this delay to the rir filter to ensure
no runtime error.
"""
print("Test with source close to microphone.")
shoebox = pra.ShoeBox(
[9.29447785567344, 6.529510207957697, 4.4677460263160995],
materials=pra.Material(energy_absorption=0.1675976883006225),
fs=16000,
max_order=17,
)
source_loc = [5.167674641605016, 4.379726875714017, 2.9190423403507504]
shoebox.add_source(source_loc)
noise_loc = [8.47420884677372, 5.675261722911696, 1.2040578622058364]
shoebox.add_source(noise_loc)
R = np.array([[8.571318246865648], [5.799718630723678], [1.3702254938278977]])
print(
"mic - source distance : {} m".format(
np.sqrt(sum((np.array(source_loc) - np.squeeze(R)) ** 2))
)
)
print(
"mic - noise distance : {} m".format(
np.sqrt(sum((np.array(noise_loc) - np.squeeze(R)) ** 2))
)
)
shoebox.add_microphone_array(pra.MicrophoneArray(R, shoebox.fs))
shoebox.compute_rir()
def simroom(room_dim, src_loc, mic_locs):
parser = argparse.ArgumentParser(
description=
"Simulates and adds reverberation to a dry sound sample. Saves it into `./examples/samples`."
)
parser.add_argument(
"--method",
"-m",
choices=methods,
default=methods[0],
help="Simulation method to use",
)
args = parser.parse_args()
# The desired reverberation time and dimensions of the room
rt60_tgt = 0.3 # seconds
# meters
# import a mono wavfile as the source signal
# the sampling frequency should match that of the room
fs, audio = wavfile.read("examples/samples/guitar_16k.wav")
# We invert Sabine's formula to obtain the parameters for the ISM simulator
e_absorption, max_order = pra.inverse_sabine(rt60_tgt, room_dim)
# Create the room
room = pra.ShoeBox(room_dim,
fs=fs,
materials=pra.Material(e_absorption),
max_order=max_order)
room.add_source(src_loc, signal=audio, delay=0.5)
# finally place the array in the room
room.add_microphone_array(mic_locs)
# Run the simulation (this will also build the RIR automatically)
room.simulate()
room.mic_array.to_wav(
"examples/samples/guitar_16k_reverb_{}.wav".format(args.method),
norm=True,
bitdepth=np.int16,
)
"""
detect_peaks(room.mic_array.signals[0, :], mph=0, mpd=1000, threshold=10, show=True)
detect_peaks(room.mic_array.signals[1, :], mph=0, mpd=1000, threshold=10, show=True)
detect_peaks(room.mic_array.signals[2, :], mph=0, mpd=1000, threshold=10, show=True)
print(max(room.mic_array.signals[0, :]))
print(max(room.mic_array.signals[1, :]))
print(max(room.mic_array.signals[2, :]))
"""
return np.array([
max(room.mic_array.signals[0, :]),
max(room.mic_array.signals[1, :]),
max(room.mic_array.signals[2, :])
])
def test_room_volume():
eps = 0.00001
# Create the 2D L-shaped room from the floor polygon
pol = 4 * np.array([[0, 0], [0, 1], [2, 1], [2, 0.5], [1, 0.5], [1, 0]]).T
r_absor = 0.1
e_abs = 1.0 - (1.0 - r_absor)**2
room = pra.Room.from_corners(pol,
fs=16000,
max_order=6,
materials=pra.Material(e_abs))
# Create the 3D room by extruding the 2D by 3 meters
room.extrude(3.0, materials=pra.Material(e_abs))
assert np.allclose(room.get_volume(), 72, atol=eps)
def test_rt60_theory_multi_band():
# Create the room
room = pra.ShoeBox(room_dim, fs=fs, materials=pra.Material("curtains_cotton_0.5"),)
# run the different rt60 functions
room.rt60_theory(formula="sabine")
room.rt60_theory(formula="eyring")
def augment_room(y, scale=1.0):
corners = np.array([[0, 0], [0, 5 * scale], [3 * scale, 5 * scale],
[3 * scale, 0]]).T
room = pra.Room.from_corners(
corners,
fs=sr,
materials=pra.Material(0.2, 0.15),
ray_tracing=True,
air_absorption=True,
)
room.extrude(2.0, materials=pra.Material(0.2, 0.15))
room.set_ray_tracing(receiver_radius=0.5, n_rays=10000, energy_thres=1e-5)
room.add_source([1.5 * scale, 4 * scale, 0.5], signal=y)
R = np.array([[1.5 * scale], [0.5 * scale], [0.5]])
room.add_microphone(R)
room.simulate()
return room.mic_array.signals[0]
def empty_room(outpath):
room = pra.ShoeBox([2.5, 3, 4],
materials=pra.Material(0.2, 0.34),
air_absorption=True)
# pretty print room dict
pprint(create_room_dict(room), sort_dicts=False)
# dump room into a yaml
dump_room(room, outpath)
def room_simulate(num_mic, mic_array, room_type):
room_list = {
'star_3': [8.3, 3.4, 2.5],
'room_819': [7.9, 7.0, 2.7],
'room_409': [7.0, 4.2, 2.7]
}
room = room_list[room_type]
dim_x, dim_y, dim_z = room[0], room[1], room[2]
sr = 16000
rt60 = 0.3
e_absorption, max_order = pra.inverse_sabine(rt60, [dim_x, dim_y, dim_z])
print(e_absorption, max_order)
num_direction = 12
mic_radius = 0.04 #0.03231 testing
#mic_radius = np.random.uniform(low=0.025,high=0.035)
mic_x_radius = 0.0637
mic_y_radius = 0.0484
mic_lin = 0.04
room = pra.ShoeBox(room,
fs=sr,
materials=pra.Material(e_absorption),
max_order=max_order)
mic_center = np.array([dim_x / 2, dim_y / 2, 0.69])
thetas = np.arange(num_mic) / num_mic * 2 * np.pi
theta_source = np.arange(num_direction) / num_direction * 2 * np.pi
if mic_array == 'circle':
center_to_mic = np.stack(
[np.cos(thetas),
np.sin(thetas),
np.zeros_like(thetas)], 0) * mic_radius
elif mic_array == 'ellipse':
center_to_mic = np.stack([
mic_x_radius * np.cos(thetas), mic_y_radius * np.sin(thetas),
np.zeros_like(thetas)
], 0)
elif mic_array == 'linear':
linear = np.arange(num_mic) * mic_lin
linear = linear - np.max(linear) / 2
center_to_mic = np.stack(
[linear, np.zeros_like(linear),
np.zeros_like(linear)], 0)
mic_positions = mic_center[:, None] + center_to_mic
room.add_microphone_array(mic_positions)
far_field_distance = 1
thetas = np.arange(num_direction) / num_direction * 2 * np.pi
center_to_source = np.stack([
np.cos(theta_source),
np.sin(theta_source),
np.zeros_like(theta_source)
], -1) * far_field_distance
source_positions = mic_center[None, :] + center_to_source
return room, source_positions
def get_room_add_method():
shoebox = pra.ShoeBox(
room_dim, materials=pra.Material(e_abs), fs=fs, max_order=max_order
)
shoebox.add_source(source_position)
mics = pra.MicrophoneArray(np.array([mic_position]).T, fs)
shoebox.add_microphone_array(mics)
shoebox.image_source_model()
shoebox.compute_rir()
return shoebox
def make_room(room_size,
source_location,
mic_array_location,
rt60,
sample_rate=16000):
e_absorption, max_order = pra.inverse_sabine(rt60, room_size)
r = pra.ShoeBox(room_size,
fs=sample_rate,
materials=pra.Material(e_absorption),
max_order=max_order)
r.add_microphone_array(mic_array_location)
r.add_source(source_location)
return r
def compute_rir(order):
fromPos = np.zeros((3))
toPos = np.ones((3, 1))
roomSize = np.array([3, 3, 3])
e_abs = 1.0 - (1.0 - 0.95)**2
room = pra.ShoeBox(roomSize,
fs=1000,
materials=pra.Material(e_abs),
max_order=order)
room.add_source(fromPos)
mics = pra.MicrophoneArray(toPos, room.fs)
room.add_microphone_array(mics)
room.compute_rir()
def test_walls_area():
eps = 0.00001
# Create the 2D L-shaped room from the floor polygon
pol = 4 * np.array([[0, 0], [0, 1], [2, 1], [2, 0.5], [1, 0.5], [1, 0]]).T
r_absor = 0.1
e_abs = 1.0 - (1.0 - r_absor)**2
room = pra.Room.from_corners(pol,
fs=16000,
max_order=6,
materials=pra.Material(e_abs))
# Create the 3D room by extruding the 2D by 3 meters
room.extrude(3.0, materials=pra.Material(e_abs))
assert np.allclose(room.wall_area(room.walls[0]), 6, atol=eps)
assert np.allclose(room.wall_area(room.walls[1]), 12, atol=eps)
assert np.allclose(room.wall_area(room.walls[2]), 6, atol=eps)
assert np.allclose(room.wall_area(room.walls[3]), 24, atol=eps)
assert np.allclose(room.wall_area(room.walls[4]), 12, atol=eps)
assert np.allclose(room.wall_area(room.walls[5]), 12, atol=eps)
assert np.allclose(room.wall_area(room.walls[6]), 24, atol=eps)
assert np.allclose(room.wall_area(room.walls[7]), 24, atol=eps)
def room_with_box():
"""Returns cuboidal room with box"""
room_material = pra.Material(energy_absorption=0.6, scattering=None)
room_faces = make_polygon(centre=[0, 0, 2.5],
radius=10,
height=5,
N=4,
rpy=[0, 0, np.pi / 4])
# define obstacle
obstacle_faces = make_polygon(centre=[2.5, 0, 2.5],
radius=1.8,
height=3,
N=4,
rpy=[0, 0, np.pi / 4],
reverse_normals=True)
obstacle_material = pra.Material(energy_absorption=0.1, scattering=0.1)
# create room
walls = []
walls.extend(create_walls(room_faces, room_material))
walls.extend(create_walls(obstacle_faces, obstacle_material))
room = pra.Room(walls,
fs=fs,
max_order=3,
ray_tracing=False,
air_absorption=False)
room.add_source([0, 0, 2.])
room.add_microphone([0, 0.2, 2.1])
# compute rir
room.image_source_model()
room.compute_rir()
return room
def test_ism():
room = pra.ShoeBox(room_size, fs, materials=pra.Material(0.1), max_order=50)
room.add_source(source_loc)
room.add_microphone(mic_loc)
room.compute_rir()
ssf_ism = met.sweeping_echo_measure(room.rir[0][0], fs)
assert 0 <= ssf_ism <= 1.0
return ssf_ism
def test_rt60_measure():
# Create the room
room = pra.ShoeBox(
room_dim, fs=fs, materials=pra.Material("curtains_cotton_0.5"), max_order=10,
)
# place the source in the room
room.add_source([2.5, 3.73, 1.76])
# place a microphone in the room
room.add_microphone([6.3, 4.87, 1.2])
room.compute_rir()
room.measure_rt60()
def func(cat1, cat2, cat2fn):
rt60_tgt = 0.3 # seconds
room_dim = [10, 10, 3] # meters
# We invert Sabine's formula to obtain the parameters for the ISM simulator
e_absorption, max_order = pra.inverse_sabine(rt60_tgt, room_dim)
# microphone locations
mic_locs = np.c_[[4.9, 4, 1], [5.1, 4.1, 1], [5.1, 3.9, 1], [5, 4, 1.2],
[5, 4, 0.8], [4.9, 3.9, 1.2], [5.1, 4.1, 0.8]]
for i in range(100):
rand1 = np.random.randint(0, len(cat2fn[cat1]))
rand2 = np.random.randint(0, len(cat2fn[cat2]))
fn1 = cat2fn[cat1][rand1]
fn2 = cat2fn[cat2][rand2]
fs, audio1 = wavfile.read("inputs/ESC-50-master/audio/" + fn1)
fs, audio2 = wavfile.read("inputs/ESC-50-master/audio/" + fn2)
min_len = min(audio1.shape[0], audio2.shape[0])
audio1 = audio1[:min_len]
audio2 = audio2[:min_len]
for i in range(5):
room = pra.ShoeBox(room_dim,
fs=fs,
materials=pra.Material(e_absorption),
max_order=max_order)
values = np.random.random(6) * 2.0 - 1.0
loc1 = [values[0] + 5, values[1] + 5, values[2] + 1.5]
loc2 = [values[3] + 5, values[4] + 5, values[5] + 1.5]
room.add_source(loc1, signal=audio1, delay=0.)
room.add_source(loc2, signal=audio2, delay=0.)
room.add_microphone_array(mic_locs)
room.simulate()
filename = fn1 + " " + fn2 + " " + str(loc1) + str(loc2) + ".wav"
room.mic_array.to_wav(
f"outputs/combined/" + filename,
norm=True,
bitdepth=np.int16,
)
def test_rt60_theory_single_band():
# The desired reverberation time and dimensions of the room
rt60_tgt = 0.3 # seconds
# We invert Sabine's formula to obtain the parameters for the ISM simulator
e_absorption, max_order = pra.inverse_sabine(rt60_tgt, room_dim)
# Create the room
room = pra.ShoeBox(
room_dim, fs=fs, materials=pra.Material(e_absorption), max_order=max_order
)
rt60_sabine = pra.rt60_sabine(S, V, e_absorption, 0.0, room.c)
assert (rt60_sabine - room.rt60_theory(formula="sabine")) < eps
rt60_eyring = pra.rt60_eyring(S, V, e_absorption, 0.0, room.c)
assert (rt60_eyring - room.rt60_theory(formula="eyring")) < eps
def random_room_ism(max_order=10, eps=1e-6, verbose=False):
"""
Create a random shoebox room and compute the difference
"""
# locations of stuff
room_dim = np.random.randint(1, 101, size=3)
src_loc = np.random.rand(3) * room_dim
mic_loc = np.random.rand(3) * room_dim
# too close is not good
while np.linalg.norm(mic_loc - src_loc) < 0.05:
mic_loc = np.random.rand(3) * room_dim
# random list of materials
materials = dict(
zip(
["north", "south", "west", "east", "ceiling", "floor"],
[pra.Material(x) for x in np.random.rand(6)],
))
# shoebox room: working correctly
room = pra.ShoeBox(room_dim, max_order=max_order, materials=materials)
# general room: not working
room2 = pra.Room(room.walls, max_order=max_order)
room.add_source(src_loc)
room2.add_source(src_loc)
room.add_microphone(mic_loc)
room2.add_microphone(mic_loc)
room.image_source_model()
room2.image_source_model()
trans_shoebox = np.sort(room.sources[0].damping)
trans_general = np.sort(room2.sources[0].damping)
error = np.linalg.norm(trans_general - trans_shoebox)
if verbose:
print("error", np.linalg.norm(trans_shoebox - trans_general))
assert error < eps
def get_room_constructor_args():
"""
When provided with sources and microphones, the constructor
should try to compute the RIR immediately
"""
source = pra.SoundSource(position=source_position)
mics = pra.MicrophoneArray(np.array([mic_position]).T, fs)
shoebox = pra.ShoeBox(
room_dim,
materials=pra.Material(e_abs),
fs=fs,
max_order=max_order,
sources=[source],
mics=mics,
)
shoebox.image_source_model()
shoebox.compute_rir()
return shoebox
def test_random_ism():
room = pra.ShoeBox(
room_size, fs, materials=pra.Material(0.1), max_order=50, use_rand_ism=True
)
room.add_source(source_loc)
room.add_microphone(mic_loc)
room.compute_rir()
# measure of spectral flatness of sweeping echoes
# higher value is desired
ssf_rism = met.sweeping_echo_measure(room.rir[0][0], fs)
assert 0 <= ssf_rism <= 1.0
return ssf_rism
def main():
# create anechoic room
wall_material = pra.Material(energy_absorption=0.1, scattering=None)
room_dim = [10, 10, 5]
room = pra.ShoeBox(
room_dim,
fs=16000,
materials=wall_material,
max_order=3,
ray_tracing=True,
air_absorption=True,
)
print('Created room.')
# TODO: add polygonal objects
# prepare waveform
num_cycles = 8
sig_freq = 500
waveform = square_wave(sig_freq,
amp=10000,
fs=16000,
len=num_cycles / sig_freq)
# plt.plot(waveform)
# add sources and mics
zh = 2
source_coord = [3, 3, zh]
mic_locs = np.c_[[5.0, 5.0, zh], [5.3, 5.0, zh]]
room.add_source(source_coord, signal=waveform)
room.add_microphone_array(mic_locs)
print('Added source and mics.')
# visualise room
room.plot()
plt.show()
# Simulated RIRs
room.compute_rir()
room.plot_rir()
plt.show()
print('Done, exiting...')
