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Tinnitus_Musik_Therapie_Projektarbeit_Repo
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Funktioniert so grob. 

Der Filter erhoeht manche Werte, deswegen kann es zu Errors kommen, evtl. muss die gesamte Musik etwas leiser gedreht werden.

To Do:
- Filter fürs Rauschen
- Filterqualitäaet ueberdenken
- GUI Benutzerfreundlicher machen: Feedback verbessern, Filterfunktion koennte in einen thread ausgelagert werden, weil sie ziemlich lange dauert bei einem ganzen Song,
  evtl. mit einer Art Ladebalken
master
Heiko Ommert 4 years ago
parent
5260a615d5
commit
d2a17f779f
4 changed files with 42 additions and 253 deletions
Split View Show Diff Stats
  1. 12
    219
      TinnitusAnalyse/.idea/workspace.xml
  2. 29
    32
      TinnitusAnalyse/SoundGenerator.py
  3. 1
    2
      TinnitusAnalyse/TinnitusDaten.csv
  4. BIN
      TinnitusAnalyse/musikTest.wav

+ 12
- 219
TinnitusAnalyse/.idea/workspace.xml View File

@@ -4,61 +4,14 @@
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<change beforePath="$PROJECT_DIR$/TinnitusAnalyse_GUI.py" beforeDir="false" afterPath="$PROJECT_DIR$/TinnitusAnalyse_GUI.py" afterDir="false" />
<change beforePath="$PROJECT_DIR$/TinnitusDaten.csv" beforeDir="false" afterPath="$PROJECT_DIR$/TinnitusDaten.csv" afterDir="false" />
<change beforePath="$PROJECT_DIR$/musikTest.wav" beforeDir="false" afterPath="$PROJECT_DIR$/musikTest.wav" afterDir="false" />
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<option name="RECENT_TEMPLATES">
<list>
@@ -98,27 +51,7 @@
<component name="Git.Settings">
<option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$/.." />
</component>
<component name="IdeDocumentHistory">
<option name="CHANGED_PATHS">
<list>
<option value="$PROJECT_DIR$/WriteToCSV.py" />
<option value="$PROJECT_DIR$/DigitalFilter1.py" />
<option value="$PROJECT_DIR$/Noise Experiment.py" />
<option value="$PROJECT_DIR$/DigitalFilter.py" />
<option value="$PROJECT_DIR$/../../../DigitalFilter.py" />
<option value="$PROJECT_DIR$/DigitalFilterTest2.py" />
<option value="$PROJECT_DIR$/DigitalFilterTest.py" />
<option value="$PROJECT_DIR$/TinnitusAnalyse_GUI.py" />
<option value="$PROJECT_DIR$/SoundGenerator.py" />
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<navigator proportions="" version="1">
@@ -138,19 +71,7 @@
<recent name="C:\Users\Julian\PycharmProjects\TinnitusAnalyse" />
</key>
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<option name="ruleStates">
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<option name="name" value="ConfigurationTypeDashboardGroupingRule" />
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<RuleState>
<option name="name" value="StatusDashboardGroupingRule" />
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<component name="RunManager" selected="Python.TinnitusAnalyse_GUI">
<component name="RunManager" selected="Python.SoundGenerator">
<configuration name="DigitalFilter (1)" type="PythonConfigurationType" factoryName="Python" temporary="true">
<module name="TinnitusAnalyse" />
<option name="INTERPRETER_OPTIONS" value="" />
@@ -279,142 +200,14 @@
</task>
<servers />
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<entry file="file://$PROJECT_DIR$/DigitalFilter1.py" />
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<entry file="file://$PROJECT_DIR$/../../../DigitalFilter.py" />
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+ 29
- 32
TinnitusAnalyse/SoundGenerator.py View File

@@ -5,7 +5,7 @@ import numpy as np
import sys # für Fehlermeldungen
from scipy import signal
import csv
import matplotlib.pyplot as plt
#import matplotlib.pyplot as plt
"""---------------------------------------------------------------------------------------------------------------------
In .wav-Dateien wird der Ton in absoluten Werte eingetragen. Die Standart-framerate ist 44100
das heißt für jede Sekunde an Ton gibt es 44100 Werte, die die Tonwelle über die Zeit beschreiben
@@ -198,10 +198,6 @@ class Sound:
rl = rl.split(";")
rl = float(rl[1])

print("lf = ", lf)
print("rf = ", rf)
print("ll = ", ll)
print("rl = ", rl)

# Die Musik filtern
w0 = float(lf/(self.music_samplerate/2)) # Frequency to remove from a signal. If fs is specified, this is in the same units as fs. By default, it is a normalized scalar that must satisfy 0 < w0 < 1, with w0 = 1 corresponding to half of the sampling frequency.
@@ -213,45 +209,46 @@ class Sound:
if ll != 0.0:
print(self.music_data[20000:20010])
musicLinks = signal.lfilter(b, a , self.music_data[:, 0]) # links
sd.play(musicLinks, self.music_samplerate)
sd.wait()

print(musicLinks[20000:20010])

freq, h = signal.freqz(b, a, fs=self.music_samplerate)
# Plot
fig, ax = plt.subplots(2, 1, figsize=(8, 6))
ax[0].plot(freq, 20 * np.log10(abs(h)), color='blue')
ax[0].set_title("Frequency Response")
ax[0].set_ylabel("Amplitude (dB)", color='blue')
ax[0].set_xlim([0, 10000])
ax[0].set_ylim([-25, 10])
ax[0].grid()
ax[1].plot(freq, np.unwrap(np.angle(h)) * 180 / np.pi, color='green')
ax[1].set_ylabel("Angle (degrees)", color='green')
ax[1].set_xlabel("Frequency (Hz)")
ax[1].set_xlim([0, 10000])
ax[1].set_yticks([-90, -60, -30, 0, 30, 60, 90])
ax[1].set_ylim([-90, 90])
ax[1].grid()
plt.show()
else:
musicLinks = self.music_data[:, 0] # ungefiltert, wenn kein Tinnitus angegeben wurde

#Plot
# freq, h = signal.freqz(b, a, fs=self.music_samplerate)
# fig, ax = plt.subplots(2, 1, figsize=(8, 6))
# ax[0].plot(freq, 20 * np.log10(abs(h)), color='blue')
# ax[0].set_title("Frequency Response")
# ax[0].set_ylabel("Amplitude (dB)", color='blue')
# ax[0].set_xlim([0, 10000])
# ax[0].set_ylim([-25, 10])
# ax[0].grid()
# ax[1].plot(freq, np.unwrap(np.angle(h)) * 180 / np.pi, color='green')
# ax[1].set_ylabel("Angle (degrees)", color='green')
# ax[1].set_xlabel("Frequency (Hz)")
# ax[1].set_xlim([0, 10000])
# ax[1].set_yticks([-90, -60, -30, 0, 30, 60, 90])
# ax[1].set_ylim([-90, 90])
# ax[1].grid()
# plt.show()


if rl != 0.0:
musicRechts = signal.lfilter(b, a, self.music_data[:, 1]) # rechts

else:
musicRechts = self.music_data[:, 1] # ungefiltert, wenn kein Tinnitus angegeben wurde


wav_obj = wave.open("musikTest.wav", "w")

# Rahmenparameter für die .wav-Datei setzen
nframes = len(self.music_data) #Gesamtanzahl der Frames in der Musikdatei
wav_obj.setparams((self.nchannels, self.sampwidth, self.music_samplerate, nframes, self.comptype, self.compname))

print("Maximum musicLinks: ", max(musicLinks))
print("Minimum musikLinks: ", min(musicLinks))

self.nframes = len(musicLinks)
wav_obj.setparams((self.nchannels, self.sampwidth, self.music_samplerate, self.nframes, self.comptype, self.compname))

frames = self.music_samplerate * 10
# Die Audiosamples schreiben
for x in range(frames):
for x in range(self.music_samplerate*5): #Kann mit nframes ersetzt werden, für den ganzen Song
# Die Audiodaten müssen von float in einen passenden int-Wert umgerechnet werden
wav_obj.writeframes(struct.pack('h', int(musicLinks[x] * 32767.0))) # Werte für links und rechts werden bei
wav_obj.writeframes(struct.pack('h', int(musicRechts[x] * 32767.0))) # wav abwechselnd eingetragen

+ 1
- 2
TinnitusAnalyse/TinnitusDaten.csv View File

@@ -1,6 +1,6 @@
Vorname;asd
Nachname;asd
linke Frequenz;950.0
linke Frequenz;10000.0
linke Lautstärke;0.2
linkes Rauschen Lautstärke;0.0
linkes Rauschen untere Grenzfrequenz;10.0
@@ -11,4 +11,3 @@ rechtes Rauschen Lautst
rechtes Rauschen untere Grenzfrequenz;10.0
rechtes Rauschen obere Grenzfrequenz;20000.0
Kommentar;


BIN
TinnitusAnalyse/musikTest.wav View File


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