"""
This module contains anechoic audio content and impulse responses for listening
and illustration. Note that each file has a separate license that is listed
below.
Quick listening is, e.g., possible with `sounddevice
<https://python-sounddevice.readthedocs.io>`_ installed:
>>> import pyfar as pf
>>> import sounddevice as sd
>>> # Load, illustrate and play speech signal
>>> speech = pf.signals.files.speech()
>>> pf.plot.spectrogram(speech)
>>> sd.play(speech.time.T, speech.sampling_rate)
"""
import os
import numpy as np
import urllib3
import pyfar as pf
# path for saving/reading files
file_dir = os.path.join(os.path.dirname(__file__), 'files')
[docs]
def castanets(sampling_rate=44100):
"""
Get an anechoic castanet sample.
Castanets rhythm from EUB SQAM CD track 27 re-programmed as anechoic
version using samples from the Vienna Symphonic Library [#]_.
.. note ::
**License**: CC 0, Matthias Frank
Parameters
----------
sampling_rate : int, optional
The sampling rate of the sample in Hz. The default of ``44100`` uses
the sample as it is, any other value uses
:py:func:`~pyfar.dsp.resample` for resampling to the desired
sampling rate.
Returns
-------
castanets : Signal
The castanets sample.
References
----------
.. [#] https://iaem.at/Members/frank/sounds/
"""
# download files if requires
files = _load_files('castanets')
# load castanets
castanets = pf.io.read_audio(os.path.join(file_dir, files[0]))
castanets.fft_norm = "rms"
# resample castanets
if sampling_rate != 44100:
castanets = pf.dsp.resample(castanets, sampling_rate, post_filter=True)
return castanets
[docs]
def drums(sampling_rate=48000):
"""
Get a dry drum sample.
The sample was recorded with microphones close to the drums in a dry
rehearsal room.
.. note ::
**License**: CC BY Fabian Brinkmann, Johannes M. Arend
Parameters
----------
sampling_rate : int, optional
The sampling rate of the sample in Hz. The default of ``44100`` uses
the sample as it is, any other value uses
:py:func:`~pyfar.dsp.resample` for resampling to the desired
sampling rate.
Returns
-------
drums : Signal
The drum sample.
"""
# download files if requires
files = _load_files('drums')
# load drums
drums = pf.io.read_audio(os.path.join(file_dir, files[0]))
drums.fft_norm = "rms"
# level to make sure all contents have approximately the same loudness
drums.time *= .9
# resample drums
if sampling_rate != 48000:
drums = pf.dsp.resample(drums, sampling_rate, post_filter=True)
return drums
[docs]
def guitar(sampling_rate=48000):
"""
Get an anechoic guitar sample.
The data is an excerpt from the file `Flamenco2_U89.wav` from the Cologne
University of Applied Sciences, Anechoic Recordings [#]_.
.. note ::
**License**: CC BY-SA Michio Woirgard, Philipp Stade, Jeffrey Amankwor,
Benjamin Bernschütz and Johannes Arend, Audio Group, Cologne University
of Applied Sciences
Parameters
----------
sampling_rate : int, optional
The sampling rate of the sample in Hz. The default of ``48000`` uses
the sample as it is, any other value uses
:py:func:`~pyfar.dsp.resample` for resampling to the desired
sampling rate.
Returns
-------
guitar : Signal
The guitar sample.
References
----------
.. [#] http://audiogroup.web.th-koeln.de/anechoic.html
"""
# download files if requires
files = _load_files('guitar')
# load guitar
guitar = pf.io.read_audio(os.path.join(file_dir, files[0]))
guitar.fft_norm = "rms"
# level to make sure all contents have approximately the same loudness
guitar.time *= .6
# resample guitar
if sampling_rate != 48000:
guitar = pf.dsp.resample(guitar, sampling_rate, post_filter=True)
return guitar
[docs]
def speech(voice="female", sampling_rate=44100):
"""
Get an anechoic speech sample.
The samples were taken from 'Music for Archimedes' [#]_ (Tracks 4, 5) with
kind permission of Bang & Olufsen for research and personal purposes. Any
commercial use or publication requires approval of Bang & Olufsen. For more
information on the recordings see [#]_.
.. note ::
**Copyright**: Bang & Olufsen
Parameters
----------
voice : str, optional
Choose between a ``'female'`` (default) and ``'male'`` voice.
sampling_rate : int, optional
The sampling rate of the sample in Hz. The default of ``44100`` uses
the sample as it is, any other value uses
:py:func:`~pyfar.dsp.resample` for resampling to the desired
sampling rate.
Returns
-------
speech : Signal
The speech sample.
References
----------
.. [#] Music for Archimedes. Bang & Olufsen, 1992, CD B&O 101.
.. [#] V. Hansen, and G. Munch, 'Making Recordings for Simulation Tests in
the Archimedes Project,' J. Audio Eng. Soc. 39, 768–774 (1991).
"""
# download files if requires
files = _load_files('speech')
# load speech
file = files[0] if voice == "female" else files[1]
speech = pf.io.read_audio(os.path.join(file_dir, file))
speech.fft_norm = "rms"
# level to make sure all contents have approximately the same loudness
gain = 0.5 if voice == "female" else 0.3
speech.time *= gain
# resample speech
if sampling_rate != 44100:
speech = pf.dsp.resample(speech, sampling_rate, post_filter=True)
return speech
[docs]
def binaural_room_impulse_response(
diffuse_field_compensation=False, sampling_rate=48000):
"""
Get a binaural room impulse response (BRIR).
The BRIR was recorded with the FABIAN head and torso simulator in the
Berliner Philharmonie [#]_ (Emitter 17). The head of FABIAN was rotated
25 degree to the right. For more information see [#]_. A matching room
impulse response can be obtained by :py:func:`~room_impulse_response`.
.. note ::
**License**: CC BY-NC-SA 4.0, David Ackermann, Audio Communication
Group, Technical University of Berlin
Parameters
----------
diffuse_field_compensation : bool, optional
Apply a diffuse field compensation to the BRIR. This can be used as a
simple headphone compensation filter when listening to the BRIR. The
default is ``False``, which does not apply the compensation. The
diffuse field compensation is taken from
:py:func:`~head_related_impulse_responses`
sampling_rate : int, optional
The sampling rate of the BRIR in Hz. The default of ``48000`` uses the
BRIR as it is, any other value uses :py:func:`~pyfar.dsp.resample`
for resampling to the desired sampling rate.
Returns
-------
brir : Signal
The BRIR
References
----------
.. [#] http://dx.doi.org/10.14279/depositonce-15774
.. [#] D. Ackermann, J. Domann, F. Brinkmann, J. M. Arend, M. Schneider,
C. Pörschmann, and S. Weinzierl 'Recordings of a Loudspeaker
Orchestra with Multi-Channel Microphone Arrays for the Evaluation of
Spatial Audio Methods,' J. Audio Eng. Soc. (submitted)
"""
# download files if requires
files = _load_files('binaural_room_impulse_response')
if diffuse_field_compensation:
files_2 = _load_files('head_related_impulse_responses')
# load brir
brir = pf.io.read_audio(os.path.join(file_dir, files[0]))
# load and resample diffuse field filter
if diffuse_field_compensation:
inverse_ctf, *_ = pf.io.read_sofa(os.path.join(file_dir, files_2[1]))
inverse_ctf.time = np.squeeze(inverse_ctf.time, 0)
inverse_ctf = pf.dsp.resample(inverse_ctf, 48000, 'freq')
brir = pf.dsp.convolve(brir, inverse_ctf, 'cut')
# resample brir
if sampling_rate != 48000:
brir = pf.dsp.resample(brir, sampling_rate, post_filter=True)
return brir
[docs]
def headphone_impulse_responses(sampling_rate=44100):
"""
Get Headphone Impulse Responses (HpIRs).
The HpIRs are taken from the FABIAN database [#]_. They were measured with
Sennheiser HD-650 headphones.
.. note ::
**License**: CC BY 4.0 Fabian Brinkmann, Alexander Lindau, Stefan
Weinzierl, Gunnar Geissler, Steven van de Par, Markus Müller-Trapet,
Rob Opdam, Michael Vorländer
Parameters
----------
sampling_rate : int, optional
The sampling rate of the HpIRs in Hz. The default of ``44100`` uses the
HpIRs as they are, any other value uses :py:func:`~pyfar.dsp.resample`
for resampling to the desired sampling rate.
Returns
-------
hpirs : signal
The HpIRs.
References
----------
.. [#] http://dx.doi.org/10.14279/depositonce-5718.5
"""
# download files if requires
files = _load_files('headphone_impulse_responses')
# load HRIRs
hpirs, *_ = pf.io.read_sofa(os.path.join(file_dir, files[0]))
if sampling_rate != 44100:
hpirs = pf.dsp.resample(hpirs, sampling_rate, 'freq', post_filter=True)
return hpirs
[docs]
def room_impulse_response(sampling_rate=48000):
"""
Get a room impulse response (RIR).
The RIR was recorded with class I 1/2 inch measurement microphone in the
Berliner Philharmonie [#]_ (Emitter 17). For more information see [#]_. A
matching binaural room impulse response can be obtained by
:py:func:`~brir`.
.. note ::
**License**: CC BY-NC-SA 4.0, David Ackermann, Audio Communication
Group, Technical University of Berlin.
Parameters
----------
sampling_rate : int
The sampling rate of the RIR in Hz. The default of ``48000`` uses the
RIR as it is, any other value uses :py:func:`~pyfar.dsp.resample`
for resampling to the desired sampling rate.
Returns
-------
rir : Signal
The RIR
References
----------
.. [#] http://dx.doi.org/10.14279/depositonce-15774
.. [#] D. Ackermann, J. Domann, F. Brinkmann, J. M. Arend, M. Schneider,
C. Pörschmann, and S. Weinzierl 'Recordings of a Loudspeaker
Orchestra with Multi-Channel Microphone Arrays for the Evaluation of
Spatial Audio Methods,' J. Audio Eng. Soc. (submitted)
"""
# download files if requires
files = _load_files('room_impulse_response')
# load rir
rir = pf.io.read_audio(os.path.join(file_dir, files[0]))
# resample rir
if sampling_rate != 48000:
rir = pf.dsp.resample(rir, sampling_rate, post_filter=True)
return rir
def _load_files(data):
"""Download files from Audio Communication Server if they do not exist."""
# create directory if required
if not os.path.isdir(file_dir):
# provide verbose error for read-only file systems
try:
os.mkdir(file_dir)
except OSError as error:
if 'Read-only' in str(error):
raise OSError((f'{data} can not be loaded because the file '
'system is read-only.')) from error
else:
raise error
# set the filenames
if data in ['binaural_room_impulse_response', 'castanets', 'drums',
'guitar', 'room_impulse_response']:
files = (f'{data}.wav', )
elif data == 'headphone_impulse_responses':
files = ('headphone_impulse_responses.sofa', )
elif data == 'head_related_impulse_responses':
files = ('head_related_impulse_responses.sofa',
'head_related_impulse_responses_ctf_inverted_smoothed.sofa',
'head_related_impulse_responses.py')
elif data == 'speech':
files = ('speech_female.wav', 'speech_male.wav')
else:
raise ValueError("Invalid data")
files += (f"{data}_license.txt", )
# check if files exist
files_exist = True
for file in files:
if not os.path.isfile(os.path.join(file_dir, file)):
files_exist = False
break
if files_exist:
return files
# download files
print(f"Loading {data} data. This is only done once.")
http = urllib3.PoolManager(cert_reqs='CERT_REQUIRED')
url = 'https://pyfar.org/wp-content/uploads/pyfar_files/'
for file in files:
http_data = http.urlopen('GET', url + file)
# save the data
if http_data.status == 200:
save_name = os.path.join(file_dir, file)
with open(save_name, 'wb') as out:
out.write(http_data.data)
else:
raise ConnectionError(
"Connection error. Please check your internet connection.")
return files
