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
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TinnitusAnalyse/.idea/workspace.xml
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@ -5,7 +5,7 @@ import numpy as np
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import sys # für Fehlermeldungen
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import sys # für Fehlermeldungen
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from scipy import signal
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from scipy import signal
|
||||||
import csv
|
import csv
|
||||||
import matplotlib.pyplot as plt
|
#import matplotlib.pyplot as plt
|
||||||
"""---------------------------------------------------------------------------------------------------------------------
|
"""---------------------------------------------------------------------------------------------------------------------
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||||||
In .wav-Dateien wird der Ton in absoluten Werte eingetragen. Die Standart-framerate ist 44100
|
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
|
das heißt für jede Sekunde an Ton gibt es 44100 Werte, die die Tonwelle über die Zeit beschreiben
|
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@ -198,10 +198,6 @@ class Sound:
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rl = rl.split(";")
|
rl = rl.split(";")
|
||||||
rl = float(rl[1])
|
rl = float(rl[1])
|
||||||
|
|
||||||
print("lf = ", lf)
|
|
||||||
print("rf = ", rf)
|
|
||||||
print("ll = ", ll)
|
|
||||||
print("rl = ", rl)
|
|
||||||
|
|
||||||
# Die Musik filtern
|
# 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.
|
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:
|
if ll != 0.0:
|
||||||
print(self.music_data[20000:20010])
|
print(self.music_data[20000:20010])
|
||||||
musicLinks = signal.lfilter(b, a , self.music_data[:, 0]) # links
|
musicLinks = signal.lfilter(b, a , self.music_data[:, 0]) # links
|
||||||
sd.play(musicLinks, self.music_samplerate)
|
else:
|
||||||
sd.wait()
|
musicLinks = self.music_data[:, 0] # ungefiltert, wenn kein Tinnitus angegeben wurde
|
||||||
|
|
||||||
print(musicLinks[20000:20010])
|
#Plot
|
||||||
|
# freq, h = signal.freqz(b, a, fs=self.music_samplerate)
|
||||||
freq, h = signal.freqz(b, a, fs=self.music_samplerate)
|
# fig, ax = plt.subplots(2, 1, figsize=(8, 6))
|
||||||
# Plot
|
# ax[0].plot(freq, 20 * np.log10(abs(h)), color='blue')
|
||||||
fig, ax = plt.subplots(2, 1, figsize=(8, 6))
|
# ax[0].set_title("Frequency Response")
|
||||||
ax[0].plot(freq, 20 * np.log10(abs(h)), color='blue')
|
# ax[0].set_ylabel("Amplitude (dB)", color='blue')
|
||||||
ax[0].set_title("Frequency Response")
|
# ax[0].set_xlim([0, 10000])
|
||||||
ax[0].set_ylabel("Amplitude (dB)", color='blue')
|
# ax[0].set_ylim([-25, 10])
|
||||||
ax[0].set_xlim([0, 10000])
|
# ax[0].grid()
|
||||||
ax[0].set_ylim([-25, 10])
|
# ax[1].plot(freq, np.unwrap(np.angle(h)) * 180 / np.pi, color='green')
|
||||||
ax[0].grid()
|
# ax[1].set_ylabel("Angle (degrees)", color='green')
|
||||||
ax[1].plot(freq, np.unwrap(np.angle(h)) * 180 / np.pi, color='green')
|
# ax[1].set_xlabel("Frequency (Hz)")
|
||||||
ax[1].set_ylabel("Angle (degrees)", color='green')
|
# ax[1].set_xlim([0, 10000])
|
||||||
ax[1].set_xlabel("Frequency (Hz)")
|
# ax[1].set_yticks([-90, -60, -30, 0, 30, 60, 90])
|
||||||
ax[1].set_xlim([0, 10000])
|
# ax[1].set_ylim([-90, 90])
|
||||||
ax[1].set_yticks([-90, -60, -30, 0, 30, 60, 90])
|
# ax[1].grid()
|
||||||
ax[1].set_ylim([-90, 90])
|
# plt.show()
|
||||||
ax[1].grid()
|
|
||||||
plt.show()
|
|
||||||
|
|
||||||
|
|
||||||
if rl != 0.0:
|
if rl != 0.0:
|
||||||
musicRechts = signal.lfilter(b, a, self.music_data[:, 1]) # rechts
|
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")
|
wav_obj = wave.open("musikTest.wav", "w")
|
||||||
|
|
||||||
# Rahmenparameter für die .wav-Datei setzen
|
# 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
|
# 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
|
# 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(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
|
wav_obj.writeframes(struct.pack('h', int(musicRechts[x] * 32767.0))) # wav abwechselnd eingetragen
|
||||||
|
|||||||
@ -1,6 +1,6 @@
|
|||||||
Vorname;asd
|
Vorname;asd
|
||||||
Nachname;asd
|
Nachname;asd
|
||||||
linke Frequenz;950.0
|
linke Frequenz;10000.0
|
||||||
linke Lautstärke;0.2
|
linke Lautstärke;0.2
|
||||||
linkes Rauschen Lautstärke;0.0
|
linkes Rauschen Lautstärke;0.0
|
||||||
linkes Rauschen untere Grenzfrequenz;10.0
|
linkes Rauschen untere Grenzfrequenz;10.0
|
||||||
@ -11,4 +11,3 @@ rechtes Rauschen Lautst
|
|||||||
rechtes Rauschen untere Grenzfrequenz;10.0
|
rechtes Rauschen untere Grenzfrequenz;10.0
|
||||||
rechtes Rauschen obere Grenzfrequenz;20000.0
|
rechtes Rauschen obere Grenzfrequenz;20000.0
|
||||||
Kommentar;
|
Kommentar;
|
||||||
|
|
||||||
|
|||||||
|
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Reference in New Issue
Block a user