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Speichervorgang schneller + IIR-Notch 5ter Ordnung
Eigentlich müsste jetzt alles so programmiert sein, wie Herr Zwanger es nach dem 11ten Meeting wollte. IIR Filter 5ter Ordnung und der Speichrvorgang ist wesentlich schnellermaster
seyffejn
3 years ago
8 changed files with 308 additions and 68 deletions
+ 3
- 0
TinnitusAnalyse/.idea/dictionaries/Julian.xml
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| @@ -7,6 +7,7 @@ | |||
| <w>beide</w> | |||
| <w>beiden</w> | |||
| <w>definieren</w> | |||
| <w>filterordnung</w> | |||
| <w>fontcolor</w> | |||
| <w>frequenz</w> | |||
| <w>kommentar</w> | |||
| @@ -21,6 +22,7 @@ | |||
| <w>mittelfrequenz</w> | |||
| <w>nachname</w> | |||
| <w>ohren</w> | |||
| <w>passband</w> | |||
| <w>rauschen</w> | |||
| <w>rauschens</w> | |||
| <w>rechtem</w> | |||
| @@ -30,6 +32,7 @@ | |||
| <w>rechts</w> | |||
| <w>speichere</w> | |||
| <w>speicherversuch</w> | |||
| <w>sperrbereichs</w> | |||
| <w>variablen</w> | |||
| <w>vorname</w> | |||
| <w>zwischen</w> | |||
+ 191
- 2
TinnitusAnalyse/.idea/workspace.xml
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| @@ -2,16 +2,83 @@ | |||
| <project version="4"> | |||
| <component name="ChangeListManager"> | |||
| <list default="true" id="5b3f2136-e422-4072-84be-e86e40fa2d55" name="Default Changelist" comment=""> | |||
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| <change beforePath="$PROJECT_DIR$/SoundGenerator.py" beforeDir="false" afterPath="$PROJECT_DIR$/SoundGenerator.py" afterDir="false" /> | |||
| <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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| <file pinned="false" current-in-tab="true"> | |||
| <entry file="file://$PROJECT_DIR$/SoundGenerator.py"> | |||
| <provider selected="true" editor-type-id="text-editor"> | |||
| <state relative-caret-position="373"> | |||
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| <folding> | |||
| <element signature="e#0#42#0" expanded="true" /> | |||
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| </state> | |||
| </provider> | |||
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| </file> | |||
| <file pinned="false" current-in-tab="false"> | |||
| <entry file="file://$USER_HOME$/AppData/Local/Programs/Python/Python35/Lib/site-packages/scipy/signal/signaltools.py"> | |||
| <provider selected="true" editor-type-id="text-editor"> | |||
| <state relative-caret-position="275"> | |||
| <caret line="1694" column="4" selection-start-line="1694" selection-start-column="4" selection-end-line="1694" selection-end-column="4" /> | |||
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| </provider> | |||
| </entry> | |||
| </file> | |||
| </leaf> | |||
| </component> | |||
| <component name="FileTemplateManagerImpl"> | |||
| <option name="RECENT_TEMPLATES"> | |||
| <list> | |||
| @@ -43,6 +110,10 @@ | |||
| <find>StringVar</find> | |||
| <find>Speichern</find> | |||
| <find>csv</find> | |||
| <find>order</find> | |||
| <find>feedback</find> | |||
| <find>musikTest</find> | |||
| <find>Daten er</find> | |||
| </findStrings> | |||
| <dirStrings> | |||
| <dir>C:\Users\Julian\PycharmProjects\TinnitusAnalyse</dir> | |||
| @@ -51,6 +122,20 @@ | |||
| <component name="Git.Settings"> | |||
| <option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$/.." /> | |||
| </component> | |||
| <component name="IdeDocumentHistory"> | |||
| <option name="CHANGED_PATHS"> | |||
| <list> | |||
| <option value="$PROJECT_DIR$/TinnitusAnalyse_GUI.py" /> | |||
| <option value="$PROJECT_DIR$/SoundGenerator.py" /> | |||
| </list> | |||
| </option> | |||
| </component> | |||
| <component name="ProjectFrameBounds" extendedState="7"> | |||
| <option name="x" value="-8" /> | |||
| <option name="y" value="-8" /> | |||
| <option name="width" value="1294" /> | |||
| <option name="height" value="1407" /> | |||
| </component> | |||
| <component name="ProjectId" id="1hYkQMnWccTfUN5kAX3DpaPGeCX" /> | |||
| <component name="ProjectLevelVcsManager" settingsEditedManually="true" /> | |||
| <component name="ProjectView"> | |||
| @@ -71,7 +156,19 @@ | |||
| <recent name="C:\Users\Julian\PycharmProjects\TinnitusAnalyse" /> | |||
| </key> | |||
| </component> | |||
| <component name="RunManager" selected="Python.SoundGenerator"> | |||
| <component name="RunDashboard"> | |||
| <option name="ruleStates"> | |||
| <list> | |||
| <RuleState> | |||
| <option name="name" value="ConfigurationTypeDashboardGroupingRule" /> | |||
| </RuleState> | |||
| <RuleState> | |||
| <option name="name" value="StatusDashboardGroupingRule" /> | |||
| </RuleState> | |||
| </list> | |||
| </option> | |||
| </component> | |||
| <component name="RunManager" selected="Python.TinnitusAnalyse_GUI"> | |||
| <configuration name="DigitalFilter (1)" type="PythonConfigurationType" factoryName="Python" temporary="true"> | |||
| <module name="TinnitusAnalyse" /> | |||
| <option name="INTERPRETER_OPTIONS" value="" /> | |||
| @@ -200,6 +297,29 @@ | |||
| </task> | |||
| <servers /> | |||
| </component> | |||
| <component name="ToolWindowManager"> | |||
| <frame x="-8" y="-8" width="2576" height="1416" extended-state="6" /> | |||
| <editor active="true" /> | |||
| <layout> | |||
| <window_info id="Favorites" side_tool="true" /> | |||
| <window_info content_ui="combo" id="Project" order="0" weight="0.25" /> | |||
| <window_info id="Structure" order="1" side_tool="true" weight="0.25" /> | |||
| <window_info anchor="bottom" id="Version Control" weight="0.32969603" /> | |||
| <window_info anchor="bottom" id="Python Console" weight="0.32969603" /> | |||
| <window_info anchor="bottom" id="Terminal" weight="0.32969603" /> | |||
| <window_info anchor="bottom" id="Event Log" side_tool="true" /> | |||
| <window_info anchor="bottom" id="Message" order="0" /> | |||
| <window_info anchor="bottom" id="Find" order="1" /> | |||
| <window_info active="true" anchor="bottom" id="Run" order="2" visible="true" weight="0.32969603" /> | |||
| <window_info anchor="bottom" id="Debug" order="3" weight="0.3998441" /> | |||
| <window_info anchor="bottom" id="Cvs" order="4" weight="0.25" /> | |||
| <window_info anchor="bottom" id="Inspection" order="5" weight="0.4" /> | |||
| <window_info anchor="bottom" id="TODO" order="6" /> | |||
| <window_info anchor="right" id="Commander" internal_type="SLIDING" order="0" type="SLIDING" weight="0.4" /> | |||
| <window_info anchor="right" id="Ant Build" order="1" weight="0.25" /> | |||
| <window_info anchor="right" content_ui="combo" id="Hierarchy" order="2" weight="0.25" /> | |||
| </layout> | |||
| </component> | |||
| <component name="WindowStateProjectService"> | |||
| <state x="669" y="115" key="#SoundGenerator" timestamp="1600197469354"> | |||
| <screen x="0" y="0" width="1920" height="1040" /> | |||
| @@ -210,4 +330,73 @@ | |||
| </state> | |||
| <state x="623" y="225" width="672" height="678" key="search.everywhere.popup/0.0.1920.1040@0.0.1920.1040" timestamp="1600261634426" /> | |||
| </component> | |||
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| <state relative-caret-position="-1530" /> | |||
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BIN
TinnitusAnalyse/MyTinnitusFreeSong.wav
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+ 100
- 55
TinnitusAnalyse/SoundGenerator.py
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| @@ -5,7 +5,9 @@ import numpy as np | |||
| import sys # für Fehlermeldungen | |||
| from scipy import signal | |||
| import csv | |||
| #import matplotlib.pyplot as plt | |||
| import time | |||
| 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 | |||
| @@ -168,97 +170,140 @@ class Sound: | |||
| return outdata | |||
| def musik_filtern(self): | |||
| """ Die Tinnitus Frequenz aus der Musik Filtern... easy""" | |||
| # Die Parameter des Tinnitus aus .csv Datei getten | |||
| """ | |||
| Diese Funktion filtert die Tinnitus Frequenz aus einer gewählten Musikdatei. Dabei geht sie in 3 großen | |||
| Schritten vor: | |||
| 1. Die nötigen Informationen über den Tinnitus aus der .csv Datei herausholen | |||
| 2. Die digitalen Filter erstellen und die Tinnitus Frequenz aus der Audiodatei "herausschneiden" | |||
| 3. Die fertigen Audiodatei als .wav Datei speichern | |||
| """ | |||
| # ------------1. Die nötigen Informationen über den Tinnitus aus der .csv Datei herausholen--------------------- | |||
| csvstring = open("TinnitusDaten.csv").read() | |||
| #print(csvstring) | |||
| x = csvstring.split("\n") | |||
| #print("\nx= ", x) | |||
| tinnitus_data = csvstring.split("\n") | |||
| # linke Frequenz aus csv Datei holen | |||
| lf = x[2] | |||
| lf = tinnitus_data[2] | |||
| lf = lf.split(";") | |||
| lf = float(lf[1]) | |||
| # rechte Frequenz aus csv Datei holen | |||
| rf = x[7] | |||
| rf = tinnitus_data[7] | |||
| rf = rf.split(";") | |||
| rf = float(rf[1]) | |||
| # linke Lautstärke aus cvs Datei holen | |||
| ll = x[3] | |||
| ll = tinnitus_data[3] | |||
| ll = ll.split(";") | |||
| ll = float(ll[1]) | |||
| # rechte Lautstärke aus cvs Datei holen | |||
| rl = x[8] | |||
| rl = tinnitus_data[8] | |||
| rl = rl.split(";") | |||
| rl = float(rl[1]) | |||
| # 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. | |||
| Q = 30.0 # Quality factor. Dimensionless parameter that characterizes notch filter -3 dB bandwidth bw relative to its center frequency, Q = w0/bw. | |||
| # -------- 2. Die digitalen Filter erstellen und die Tinnitus Frequenz aus der Audiodatei "herausschneiden------ | |||
| start_time = time.time() # einen Timer laufen lassen um zu sehen wie lange Filterung dauert | |||
| self.music_data = self.music_data/32767 * 0.8 # convert array from int16 to float | |||
| """ OLD IIR Notch Filter 2nd Order---------------------------------------------------------------------- | |||
| 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. | |||
| Q = 30.0 # Quality factor. Dimensionless parameter that characterizes notch filter -3 dB bandwidth bw relative | |||
| to its center frequency, Q = w0/bw. | |||
| b, a = signal.iirnotch(lf, Q, fs=self.music_samplerate) | |||
| if ll != 0.0: | |||
| print("Links wird gefiltert...") | |||
| musicLinks = signal.lfilter(b, a , self.music_data[:, 0]) # links | |||
| print("Filtern beendet") | |||
| 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() | |||
| b, a = signal.iirnotch(rf, Q, fs=self.music_samplerate) | |||
| if rl != 0.0: | |||
| print("Rechts wird gefiltert...") | |||
| musicRechts = signal.lfilter(b, a, self.music_data[:, 1]) # rechts | |||
| print("Filtern beendet") | |||
| ---------------------------------------------------------------------------------------------------------------- | |||
| """ | |||
| """ New IIR Notch Filter 5th order--------------------------------------------------------------------------""" | |||
| # ------------------------------------------LEFT EAR FILTERING------------------------------------------------- | |||
| # Filterparameter festlegen------------ | |||
| order = 5 # Filterordnung | |||
| bandwidth = 175 # Bandbreite des Sperrbereichs in Hz | |||
| #stop_attenuation = 100 # minimum Attenuation (Damping, Reduction) in stop Band [only for elliptic filter necessary] | |||
| cutoff_frequencies = [(lf - (bandwidth / 2)),(lf + (bandwidth / 2))] # the cutoff frequencies (lower and upper) | |||
| max_ripple_passband = 50 # Maximal erlaubte Welligkeit im Passbereich | |||
| # ------------------------------------- | |||
| if ll != 0.0: # nur wenn die Lautstärke des linken Tinnitus ungleich 0 ist, wird auf diesem Ohr auch gefiltert | |||
| b, a = signal.iirfilter(order, cutoff_frequencies, rp=max_ripple_passband, btype='bandstop', ftype='butter', | |||
| fs=self.music_samplerate) # Diese Funktion erstellt den IIR-Bandpassfilter (links) | |||
| music_links = signal.lfilter(b, a, self.music_data[:, 0]) # diese Funktion filtert die Audiodaten | |||
| else: | |||
| musicRechts = self.music_data[:, 1] # ungefiltert, wenn kein Tinnitus angegeben wurde | |||
| music_links = self.music_data[:, 0] # ungefiltert, wenn kein Tinnitus angegeben wurde | |||
| # ------------------------------------- RIGHT EAR FILTERING ------------------------------------------------ | |||
| if rl != 0.0: # nur wenn die Lautstärke des rechten Tinnitus ungleich 0 ist, wird auf diesem Ohr auch gefiltert | |||
| cutoff_frequencies = [(rf - (bandwidth / 2)), ( | |||
| rf + (bandwidth / 2))] # change the cutoff frequencies to the tinnitus of the RIGHT EAR | |||
| wav_obj = wave.open("musikTest.wav", "w") | |||
| b, a = signal.iirfilter(order, cutoff_frequencies, rp=max_ripple_passband, btype='bandstop', ftype='butter', | |||
| fs=self.music_samplerate) # Diese Funktion erstellt den IIR-Bandpassfilter (rechts) | |||
| music_rechts = signal.lfilter(b, a, self.music_data[:, 1]) # rechts | |||
| else: | |||
| music_rechts = self.music_data[:, 1] # diese Funktion filtert die Audiodaten(die Tinnitusfreq wird entfernt) | |||
| endTimeFiltering = time.time() | |||
| print("benötigte Zeit zum Filtern rechts Ohr =", endTimeFiltering - start_time, "s") | |||
| # ------------------------- 3. Die fertigen Audiodatei als .wav Datei speichern -------------------------------- | |||
| start_time = time.time() | |||
| wav_obj = wave.open("MyTinnitusFreeSong.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)) | |||
| """The values are stored in a temporary list, and when the process is finished, they are joined together into | |||
| an string which is then sent to the output with the traditional writeframes method.""" | |||
| packedMusic = [] # Liste an die wir die einzelnen frames bereits in binär umgewandelt aneinanderreihen | |||
| # Die Audiosamples schreiben | |||
| print("Musikdatei wird erstellt...") | |||
| for x in range(self.music_samplerate * 20): #Kann mit nframes ersetzt werden, für den ganzen Song | |||
| for tinnitus_data in range(self.music_samplerate * 60): #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 | |||
| if x % 10000 == 0: | |||
| fortschritt = x/(self.music_samplerate*20)*100 | |||
| packedMusic.append(struct.pack('h', int(music_links[tinnitus_data] * 32767.0))) | |||
| packedMusic.append(struct.pack('h', int(music_rechts[tinnitus_data] * 32767.0))) | |||
| # wav_obj.writeframes(struct.pack('h', int(music_links[x] * 32767.0))) # Werte für links und rechts werden bei | |||
| # wav_obj.writeframes(struct.pack('h', int(musicRechts[x] * 32767.0))) # wav abwechselnd eingetragen | |||
| if tinnitus_data % 10000 == 0: | |||
| fortschritt = tinnitus_data/(self.music_samplerate*20)*100 | |||
| print(" ", round(fortschritt, 1), "%") | |||
| end_time = time.time() | |||
| print("Zeitaufwand für das packen der einzelnen Samples =", end_time - start_time, "s") | |||
| value_str = b"".join(packedMusic) | |||
| start = time.time() | |||
| wav_obj.writeframes(value_str) | |||
| end = time.time() | |||
| print("Zeitaufwand für das schreiben aller Frames in die wav Datei =", end - start, "s") | |||
| wav_obj.close() | |||
| print("Speichern beendet.") | |||
| # # Plot (hilfreich für Filterentwurf) | |||
| # 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([-120, 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() | |||
+ 9
- 7
TinnitusAnalyse/TinnitusAnalyse_GUI.py
View File
| @@ -6,9 +6,6 @@ import sounddevice as sd | |||
| from scipy.io import wavfile | |||
| """--------------------------FUNKTIONEN DIE DURCH GUI KLICKS AUSGEFÜHRT WERDEN---------------------------------------""" | |||
| """-------Funktionen links-------------""" | |||
| @@ -201,10 +198,15 @@ def unten_button_musikdatei_laden_press(): | |||
| def unten_button_filtere_tinnitus_aus_musik(): | |||
| print("button filtere tinnitus aus musik pressed") | |||
| feedback("Gefilterte Musikdatei erstellt", "blue") | |||
| sound.musik_filtern() | |||
| # except: | |||
| # feedback("Fehlgeschlagener Filterversuch!", "red", "white") | |||
| try: | |||
| feedback("Starte Filtervorgang (dies kann einige Minuten dauern)...", "blue") | |||
| sound.musik_filtern() | |||
| feedback("Filtervorgang erfolgreich abgeschlossen. \n" | |||
| "Audiodatei unter dem Namen MyTinnitusFreeSong.wav erstellt", "white", "green") | |||
| except: | |||
| feedback("Fehlgeschlagener Filterversuch. Drücke zuerst den Speichern Knopf" | |||
| "Stelle sicher, dass die Lautstärke mindestens einer Seite über 0" | |||
| "gestellt ist. Sonst gehen wir davon aus, dass auf diesem Ohr kein Tinnitus vorliegt.", "red", "white") | |||
| """ Initialisierungen """ | |||
+ 5
- 4
TinnitusAnalyse/TinnitusDaten.csv
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| @@ -1,13 +1,14 @@ | |||
| Vorname;asd | |||
| Nachname;asd | |||
| linke Frequenz;10000.0 | |||
| linke Lautstärke;0.2 | |||
| linke Frequenz;5040.0 | |||
| linke Lautstärke;0.04 | |||
| linkes Rauschen Lautstärke;0.0 | |||
| linkes Rauschen untere Grenzfrequenz;10.0 | |||
| linkes Rauschen obere Grenzfrequenz;20000.0 | |||
| rechte Frequenz;920.0 | |||
| rechte Lautstärke;0.28 | |||
| rechte Frequenz;5040.0 | |||
| rechte Lautstärke;0.02 | |||
| rechtes Rauschen Lautstärke;0.0 | |||
| rechtes Rauschen untere Grenzfrequenz;10.0 | |||
| rechtes Rauschen obere Grenzfrequenz;20000.0 | |||
| Kommentar; | |||
BIN
TinnitusAnalyse/__pycache__/SoundGenerator.cpython-35.pyc
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BIN
TinnitusAnalyse/musikTest.wav
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