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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 Ladebalkenmaster
4 changed files with 42 additions and 253 deletions
+ 12
- 219
TinnitusAnalyse/.idea/workspace.xml
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- 32
TinnitusAnalyse/SoundGenerator.py
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| import sys # für Fehlermeldungen | import sys # für Fehlermeldungen | ||||
| from scipy import signal | from scipy import signal | ||||
| import csv | 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 | 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 | ||||
| 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. | ||||
| 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) | |||||
| 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: | 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
- 2
TinnitusAnalyse/TinnitusDaten.csv
View File
| 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 | ||||
| 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; | ||||
BIN
TinnitusAnalyse/musikTest.wav
View File
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