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# -*- coding: utf-8 -*-
# ######### COPYRIGHT #########
# Credits
# #######
#
# Copyright(c) 2015-2025
# ----------------------
#
# * `LabEx Archimède <http://labex-archimede.univ-amu.fr/>`_
# * `Laboratoire d'Informatique Fondamentale <http://www.lif.univ-mrs.fr/>`_
# (now `Laboratoire d'Informatique et Systèmes <http://www.lis-lab.fr/>`_)
# * `Institut de Mathématiques de Marseille <http://www.i2m.univ-amu.fr/>`_
# * `Université d'Aix-Marseille <http://www.univ-amu.fr/>`_
#
# This software is a port from LTFAT 2.1.0 :
# Copyright (C) 2005-2025 Peter L. Soendergaard <peter@sonderport.dk>.
#
# Contributors
# ------------
#
# * Denis Arrivault <contact.dev_AT_lis-lab.fr>
# * Florent Jaillet <contact.dev_AT_lis-lab.fr>
#
# Description
# -----------
#
# ltfatpy is a partial Python port of the
# `Large Time/Frequency Analysis Toolbox <http://ltfat.sourceforge.net/>`_,
# a MATLAB®/Octave toolbox for working with time-frequency analysis and
# synthesis.
#
# Version
# -------
#
# * ltfatpy version = 1.1.2
# * LTFAT version = 2.1.0
#
# Licence
# -------
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# ######### COPYRIGHT #########
"""Module of linus signal loading
Ported from ltfat_2.1.0/signals/linus.m
.. moduleauthor:: Florent Jaillet
"""
from scipy.io.wavfile import read as wavread
import importlib.resources
import numpy as np
def linus():
"""Load the 'linus' test signal
- Usage:
| ``(s, fs) = linus()``
- Output parameters:
:returns: ``(s, fs)``
:rtype: tuple
:var numpy.ndarray s: 'linus' signal
:var int fs: sampling frequency in Hz
``linus`` loads the 'linus' signal. It is a recording of Linus Thorvalds
pronouncing the words "Hello. My name is Linus Thorvalds, and I pronounce
Linux as Linux".
The signal is 41461 samples long and is sampled at 8 kHz.
See `<http://www.paul.sladen.org/pronunciation/>`_.
"""
# f = pkg_resources.resource_stream(__name__, "linus.wav")
# ref = importlib.resources.files(__name__).joinpath("linus.wav")
ref = importlib.resources.files(__package__).joinpath("linus.wav")
with ref.open('rb') as f:
fs, s = wavread(f)
s = s.astype(np.float64) / 2.**15.
return (s, fs)
fs, s = wavread(f)
s = s.astype(np.float64) / 2.**15.
return (s, fs)
|
