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A soundscape is the acoustic environment as perceived by humans, in context. The term was originally coined by Michael Southworth, and popularised by R. Murray Schafer. There is a varied history of the use of soundscape depending on discipline, ranging from urban design to wildlife ecology to computer science. An important distinction is to separate soundscape from the broader acoustic environment. The acoustic environment is the combination of all the acoustic resources, natural and artificial, within a given area as modified by the environment. The International Organization for Standardization (ISO) standardized these definitions in 2014. (ISO 12913-1:2014) A soundscape is a sound or combination of sounds that forms or arises from an immersive environment. The study of soundscape is the subject of acoustic ecology or soundscape ecology. The idea of soundscape refers to both the natural acoustic environment, consisting of natural sounds, including animal vocalizations, the collective habitat expression of which is now referred to as the biophony, and, for instance, the sounds of weather and other natural elements, now referred to as the geophony; and environmental sounds created by humans, the anthropophony through a sub-set called controlled sound, such as musical composition, sound design, and language, work, and sounds of mechanical origin resulting from use of industrial technology. Crucially, the term soundscape also includes the listener's perception of sounds heard as an environment: "how that environment is understood by those living within it" and therefore mediates their relations. The disruption of these acoustic environments results in noise pollution. The term "soundscape" can also refer to an audio recording or performance of sounds that create the sensation of experiencing a particular acoustic environment, or compositions created using the found sounds of an acoustic environment, either exclusively or in conjunction with musical performances.
[2]Paolo Prandoni, [3]LCAV, EPFL
The Karplus-Strong algorithm is a simple method to generate synthetic
sounds with arbitrary pitch. In this notebook we will explore a few
variations of the method to illustrate some basic notions of
discrete-time signal processing.
In [1]:
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import IPython
In [2]:
plt.rcParams["figure.figsize"]