pytimbre.timbre_features.metrics.equivalent_level.EquivalentLevelMetrics¶
- class pytimbre.timbre_features.metrics.equivalent_level.EquivalentLevelMetrics¶
Bases:
objectThere are multiple ways to create an equivalent level. This class provides access to the methods through the different PyTimbre objects that represent the acoustic pressures. This includes a Waveform, Spectrum, and TimeHistory.
- __init__()¶
A container class for an equivalent sound pressure level, or acoustic energy averaged over some total duration. Commonly abbreviated Leq. Often includes the spectral weighting and equivalent duration in the abbreviation, e.g., LAeq8hr. Examples:
Represent one half (50%) of a total allowed daily noise exposure >>> import numpy as np >>> from pytimbre.timbre_features.metrics.equivalent_level import EquivalentLevelMetrics >>> leq = EquivalentLevelMetrics(85., datetime.timedelta(hours=4), WeightingFunctions.a_weighted) >>> np.round(leq.leq8hr, decimals=1) 82.0 >>> np.round(leq.noise_dose_pct, decimals=1) 49.9
What is the sound exposure level for a 30-second exposure to an A-weighted SPL of 120 dB? >>> leq = EquivalentLevelMetrics(120., datetime.timedelta(seconds=30), WeightingFunctions.a_weighted) >>> np.round(leq.sel, decimals=1) 134.8
If the logarithmic average SPL of a passing train from a 1-minute recording is 95 dB, what is the SPL for the same noise event averaged over 1 hour? >>> np.round(EquivalentLevelMetrics._convert_duration(95., 60, 60 * 60), decimals=1) 77.2
Methods
__init__()A container class for an equivalent sound pressure level, or acoustic energy averaged over some total duration.
from_spectrum(s, duration)from_time_history(th)from_waveform(wfm)Attributes
durationEight-hour equivalent level, a common metric for quantifying total daily noise exposure.
This function will integrate the provided acoustic data to the exact duration of the dataset.
level_time_historysound_exposure_levelspectrogramspectrumwaveformweighting- property eight_hour_equivalent_level¶
Eight-hour equivalent level, a common metric for quantifying total daily noise exposure. :rtype: float
- property exact_equivalent_level¶
This function will integrate the provided acoustic data to the exact duration of the dataset. :return: the equivalent level of the data :rtype: float or Spectrum