Source code for timeside.plugins.analyzer.level

# -*- coding: utf-8 -*-
#
# Copyright (c) 2007-2009 Guillaume Pellerin <yomguy@parisson.com>
# Copyright (c) 2009 Olivier Guilyardi <olivier@samalyse.com>

# This file is part of TimeSide.

# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero 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 Affero General Public License for more details.

# You should have received a copy of the GNU Affero General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

# Author: Guillaume Pellerin <yomguy@parisson.com>

from timeside.core import implements, interfacedoc
from timeside.core.analyzer import Analyzer
from timeside.core.api import IValueAnalyzer
import numpy as np
from timeside.plugins.analyzer.utils import MACHINE_EPSILON


[docs]class Level(Analyzer): """Audio level analyzer Examples -------- >>> import timeside >>> from timeside.core import get_processor >>> from timeside.core.tools.test_samples import samples >>> source = samples['sweep.mp3'] >>> decoder = get_processor('file_decoder')(uri=source) >>> level = get_processor('level')() >>> (decoder | level).run() >>> level.results.keys() ['level.max', 'level.rms'] >>> max = level.results['level.max'] >>> print max.data [ 0.] >>> rms = level.results['level.rms'] >>> print rms.data # doctest: +ELLIPSIS [-3.26...] """ implements(IValueAnalyzer)
[docs] @interfacedoc def setup(self, channels=None, samplerate=None, blocksize=None, totalframes=None): super(Level, self).setup(channels, samplerate, blocksize, totalframes) # max_level self.max_value = 0 # rms_level self.mean_values = np.array([])
[docs] @staticmethod @interfacedoc def id(): return "level"
[docs] @staticmethod @interfacedoc def name(): return "Level Analyzer"
[docs] @staticmethod @interfacedoc def unit(): return "dBFS"
[docs] def process(self, frames, eod=False): if frames.size: # max_level max_value = np.abs(frames).max() if max_value > self.max_value: self.max_value = max_value # rms_level self.mean_values = np.append(self.mean_values, np.mean(np.square(frames))) return frames, eod
[docs] def post_process(self): # Max level max_level = self.new_result(data_mode='value', time_mode='global') max_level.id_metadata.id += '.' + "max" max_level.id_metadata.name += ' ' + "Max" if self.max_value == 0: # Prevent np.log10(0) = Inf self.max_value = MACHINE_EPSILON max_level.data_object.value = np.round( 20 * np.log10(self.max_value), 3) self.add_result(max_level) # RMS level rms_level = self.new_result(data_mode='value', time_mode='global') rms_level.id_metadata.id += '.' + "rms" rms_level.id_metadata.name += ' ' + "RMS" rms_val = np.sqrt(np.mean(self.mean_values)) if rms_val == 0: rms_val = MACHINE_EPSILON rms_level.data_object.value = np.round(20 * np.log10(rms_val), 3) self.add_result(rms_level)
if __name__ == "__main__": import doctest import timeside doctest.testmod(timeside.analyzer.level)