File:Bark scale approximation.png

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Original file ‎(3,000 × 2,100 pixels, file size: 235 KB, MIME type: image/png)

Captions

Captions

The comparison of several Bark scale approximation models.

Summary

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Description
English: The comparison of the several Bark scale approximation models.
Date
Source Own work
Author Kirlf
PNG development
InfoField
 
This plot was created with Matplotlib.
Source code
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Python code

import numpy as np
import matplotlib.pyplot as plt

#Frequency array between 0 and 20000 Hz in 1000 steps:
f = np.linspace(0,20000,1000) 

zw = 13*np.arctan(0.00076*f) + 3.5*np.arctan((f/7500)**2)
tr = (26.81*f / (1960 + f)) - 0.53
sr = 7*np.arcsinh(f/650)
wsg = 6*np.arcsinh(f/600)
kov = 8.96*np.log(0.978 + 5*np.log(0.994 + ( (f + 75.4)/2173 )**1.347))

plt.figure(figsize=(10, 7), dpi=300)
plt.plot(f*1e-3,zw, label='Zwicker')
plt.plot(f*1e-3,tr, label='Traunmüller')
plt.plot(f*1e-3,sr, label='Schroeder')
plt.plot(f*1e-3,wsg, label='Wang, Sekey & Gersho')
plt.plot(f*1e-3,kov, label='Kovalchuk')

plt.plot(np.array([100,1270,2700,6400,9500,15500])*1e-3,[1,10,15,20,22,24],\
         'ro', label='Points from the Bark scale')

plt.xlabel('Frequency in kHz')
plt.ylabel('Frequency in Bark')
plt.title('Approximation of the Bark Scale')
plt.legend()
plt.grid()
plt.savefig('Results.png')

Licensing

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I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
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  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

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Date/TimeThumbnailDimensionsUserComment
current10:50, 12 December 2019Thumbnail for version as of 10:50, 12 December 20193,000 × 2,100 (235 KB)Kirlf (talk | contribs)User created page with UploadWizard

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