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""" This example shows how to create delay and sum beamformers """ + from __future__ import division, print_function import matplotlib.pyplot as plt import numpy as np

Adaptive Filters Example ======================== In this example, we will run adaptive filters for system identification. """ + from __future__ import division, print_function import matplotlib.pyplot as plt import numpy as np from scipy.signal import fftconvolve

====================================== In this example, we will run adaptive filters for system identification, but in the frequeny domain. """ + from __future__ import division, print_function import matplotlib.pyplot as plt import numpy as np from scipy.signal import fftconvolve

""" Example of the basic operations with ``pyroomacoustics.datasets.Dataset`` and ``pyroomacoustics.datasets.Sample`` classes """ + from pyroomacoustics.datasets import Dataset, Sample # Prepare a few artificial samples samples = [ {

one source and two microphones in the room and compute the room impulse responses. The simulation is done using the hybrid ISM/RT simulator. """ + from __future__ import print_function import time import matplotlib.pyplot as plt

""" This example program demonstrates the use of ray tracing for the simulation of rooms of different sizes. """ + from __future__ import print_function import argparse import sys import time

This examples demonstrates how to build a 3D room for multi-band simulation with rich wall materials. 2022 (c) @noahdeetzers, @fakufaku """ + import matplotlib.pyplot as plt import numpy as np import pyroomacoustics as pra

5. Save the separated sources as .wav files 6. Show a GUI where a mixed signals and the separated sources can be played This script requires the `mir_eval` to run, and `tkinter` and `sounddevice` packages for the GUI option. """ + import time import numpy as np from mir_eval.separation import bss_eval_sources from scipy.io import wavfile

This example creates a room with reverberation time specified by inverting Sabine's formula. This results in a reverberation time slightly longer than desired. The simulation is pure image source method. The audio sample with the reverb added is saved back to `examples/samples/guitar_16k_reverb.wav`. """ + import argparse import matplotlib.pyplot as plt import numpy as np from scipy.io import wavfile

Currently, the materials need to be set in the program which is not very practical when different walls have different materials. The STL file was kindly provided by Diego Di Carlo (@Chutlhu). """ + import argparse import os from pathlib import Path import matplotlib.pyplot as plt

========================= Implementations of adaptive filters from the LMS class. These algorithms have a low complexity and reliable behavior with a somewhat slower convergence. """ + from __future__ import absolute_import, division, print_function import numpy as np import scipy.linalg as la

We can also use the objects separately. ~ Prerak SRIVASTAVA, 8/11/2022 """ - import os import matplotlib.pyplot as plt import numpy as np from scipy import signal

import numpy as np class SubbandLMS: - """ Frequency domain implementation of LMS. Adaptive filter for each subband. Parameters

lambda_NFT = W_NFK @ H_NKT + eps Y_FTM = np.einsum("nft, nfm -> ftm", lambda_NFT, G_NFM) # update G_NFM (diagonal element of spatial covariance matrices) - numerator = np.einsum( - "nft, ftm -> nfm", lambda_NFT, Qx_power_FTM / (Y_FTM**2) - ) + numerator = np.einsum("nft, ftm -> nfm", lambda_NFT, Qx_power_FTM / (Y_FTM**2)) denominator = np.einsum("nft, ftm -> nfm", lambda_NFT, 1 / Y_FTM) + eps G_NFM *= np.sqrt(numerator / denominator) Y_FTM = np.einsum("nft, nfm -> ftm", lambda_NFT, G_NFM) # udpate Q (matrix for joint diagonalization)

""" Example of the basic operations with ``pyroomacoustics.datasets.Dataset`` and ``pyroomacoustics.datasets.Sample`` classes """ + from pyroomacoustics.datasets import Dataset, Sample def test_dataset(): # Prepare a few artificial samples

Price: Free URL: http://www.festvox.org/cmu_arctic/ """ + import os import numpy as np from scipy.io import wavfile

""" Routines to perform grid search on the sphere """ + from __future__ import absolute_import, division, print_function from abc import ABCMeta, abstractmethod import numpy as np

""" A collection of functions to plot maps and points on circles and spheres. """ + import numpy as np def polar_plt_dirac( self,

""" This module contains useful functions to compute distances and errors on on circles and spheres. """ + from __future__ import division import collections import numpy as np

""" A few test signals like sweeps and stuff. """ + from __future__ import division, print_function import numpy as np

# ========================================================================= import copy class MicrophoneArray(object): - """Microphone array class.""" def __init__(self, R, fs, directivity=None): R = np.array(R) self.dim = R.shape[0] # are we in 2D or in 3D

""" This tests the construction of a bank of octave filters """ + import numpy as np from scipy.signal import sosfreqz import pyroomacoustics as pra

Room.image_source_model() 25000 times. If the C module is not installed (pure python fallback version), then nothing is done. """ + import numpy as np import pyroomacoustics

return ax class SOFADirectivityFactory: - """ This class reads measured directivities from a `SOFA <https://www.sofaconventions.org>`_ format file. Optionally, it can perform interpolation of the impulse responses onto a finer grid. The interpolation is done in the spherical harmonics domain.

@author: od0014 Script to test removal of sweeping echoes with randomized image method """ + import pyroomacoustics as pra from pyroomacoustics import metrics as met # create an example with sweeping echo - from Enzo's paper room_size = [4, 4, 4]

""" Just run the Material command with a bunch of inputs to make sure it works as expected """ + import pyroomacoustics as pra scat_test = { "coeffs": [0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.3], "center_freqs": [125, 250, 500, 1000, 2000, 4000, 8000],

""" Tests the mixing function of ``Room.simulate`` """ + import unittest import numpy as np import pyroomacoustics as pra

for the Shoebox rooms. It was created to address Issue #293 on github. https://github.com/LCAV/pyroomacoustics/issues/293<Paste> """ + import numpy as np import pytest import pyroomacoustics as pra

| A class for continuous STFT processing and frequency domain filtering | :py:obj:`pyroomacoustics.transform.stft` """ - from . import stft from .dft import DFT from .stft import STFT

The tests compare the output of the simulation with some pre-generated samples. To generate the samples run this file: `python ./test_sofa_directivities.py` """ + import argparse import os import warnings from pathlib import Path

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[notice] A new release of pip is available: 23.0.1 -> 24.0 [notice] To update, run: python3.10 -m pip install --upgrade pip

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