Projektbericht hinzugefügt und % Fortschritt Anzeige grober gemacht

TinnitusAnalyse/.idea/workspace.xml

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TinnitusAnalyse/SoundGenerator.py

 from scipy import signal
 import csv
 import time
-#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
             # sosfilt filtert das Signal mittels mehrerer 'second order sections' (= Filter 2. Ordnung) die über sos definiert sind
             outdata[:, 0] = signal.sosfilt(sos, outdata[:, 0])
 
+            # Plotten des Filters für Filterentwicklung und Dokumentation nützlich---------
+            # w, h = signal.sosfreqz(sos, worN=1500)
+            # plt.subplot(2, 1, 1)
+            # db = 20 * np.log10(np.maximum(np.abs(h), 1e-5))
+            # plt.plot(w / np.pi, db)
+            # plt.ylim(-75, 5)
+            # plt.grid(True)
+            # plt.yticks([0, -20, -40, -60])
+            # plt.ylabel('Gain [dB]')
+            # plt.title('Frequency Response')
+            # plt.subplot(2, 1, 2)
+            # plt.plot(w / np.pi, np.angle(h))
+            # plt.grid(True)
+            # plt.yticks([-np.pi, -0.5 * np.pi, 0, 0.5 * np.pi, np.pi],
+            #            [r'$-\pi$', r'$-\pi/2$', '0', r'$\pi/2$', r'$\pi$'])
+            # plt.ylabel('Phase [rad]')
+            # plt.xlabel('Normalized frequency (1.0 = Nyquist)')
+            # plt.show()
+            # -------------------------------------------------------------------------------
         if self.tinnitus.rechtsRauschenLautstaerke:
             # (-3dB Grenzen) bzw was der Bandpass durchlässt
             fGrenz = [self.tinnitus.rechtsRauschenUntereGrenzfrequenz,
         # -------------------------------------
 
         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
+
+            # FIR Filterversuch
+            # b = signal.firwin(order, cutoff_frequencies, pass_zero="bandstop", fs=self.music_samplerate, width=bandwidth,
+            #                   window="hamming")
+            #
+            # music_links = signal.lfilter(b, [1.0], self.music_data[:, 0])
+
+
         else:
             music_links = self.music_data[:, 0]  # ungefiltert, wenn kein Tinnitus angegeben wurde
 
                                     fs=self.music_samplerate)  # Diese Funktion erstellt den IIR-Bandpassfilter (rechts)
 
             music_rechts = signal.lfilter(b, a, self.music_data[:, 1])    # rechts
+
+            # FIR Filterversuch
+            # b = signal.firwin(order, cutoff_frequencies, pass_zero="bandstop", fs=self.music_samplerate, width=bandwidth,
+            #                   window="hamming")
+            #
+            # music_rechts = signal.lfilter(b, [1.0], self.music_data[:, 1])
         else:
             music_rechts = self.music_data[:, 1]  # diese Funktion filtert die Audiodaten(die Tinnitusfreq wird entfernt)
 
         #Maximum finden (Funktion max(...) ist minimal schneller, macht aber Probleme beim Feedback)
         start_time = time.time()
         max_ges = 0
+        fortschritt = 0
         for i in range(nframes):
             if max_ges < abs(music_links[i]):
                 max_ges = abs(music_links[i])
             if max_ges < abs(music_rechts[i]):
                 max_ges = abs(music_rechts[i])
-            if i % 50000 == 0:
-                fortschritt = i / nframes * 100
+            if i % int(nframes/10) == 0:    # glaub hier stand 10000 davor oder 50000
+                # fortschritt = i / nframes * 100
+                # self.filterfortschritt = 3, round(fortschritt, 1)
+                # print("  max: ", self.filterfortschritt[1], "%")
+
+                fortschritt += 10
                 self.filterfortschritt = 3, round(fortschritt, 1)
                 print("  max: ", self.filterfortschritt[1], "%")
         end_time = time.time()
 
         # Die Audiosamples schreiben
         print("Musikdatei wird erstellt...")
+        fortschritt = 0
         for tinnitus_data in range(nframes):  #geht jeden Sample-Wert der Musikdatei einzeln durch
             # Die Audiodaten müssen von float in einen passenden int-Wert umgerechnet werden
             packedMusic.append(struct.pack('h', int(music_links[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 % 50000 == 0:
-                fortschritt = tinnitus_data/nframes*100
+            if tinnitus_data % int(nframes/10) == 0:
+                fortschritt += 10
                 self.filterfortschritt = 4, round(fortschritt, 1)
                 print("  samples: ", self.filterfortschritt[1], "%")
 

TinnitusAnalyse/TinnitusAnalyse_GUI.py

             # Filtern in extra thread, damit sich die GUI nicht aufhängt: (daemon beendet den Thread, wenn das Hauptprogramm beendet wird)
             filter_thread = threading.Thread(target=sound.musik_filtern, daemon=True)
             filter_thread.start()
-            time.sleep(3)  # Zeit, damit man das Feedback lesen kann, bevor es gelöscht wird (siehe übernächste Zeile)
+            time.sleep(1)  # Zeit, damit man das Feedback lesen kann, bevor es gelöscht wird (siehe übernächste Zeile)
 
+            safe_percentage = 0
             while filter_thread.is_alive():
-                feedback.lineCounter = 11  # "Workaround" um Zeilen überschreiben zu können
+                #feedback.lineCounter = 11  # "Workaround" um Zeilen überschreiben zu können
                 schritt = sound.filterfortschritt[0]
-                if schritt == 3 or schritt == 4: #Nur bei dem 3. und 4. Schritt wird der Fortschritt in Prozent angezeigt
+                if schritt == 3 or schritt == 4: # Nur bei dem 3. und 4. Schritt wird der Fortschritt in Prozent angezeigt
                     fb = "Schritt " + str(schritt) + " von 4 (" + str(sound.filterfortschritt[1]) + "%)"
-                    feedback(fb)
+                    if sound.filterfortschritt[1] > safe_percentage:
+                        feedback(fb)
+                        safe_percentage = sound.filterfortschritt[1]
                 elif schritt < 3:
                     fb = "Schritt " + str(schritt) + " von 4"
                     feedback(fb)
+
             if sound.filterfortschritt[0] == 5:  #ist 5, wenn erfolgreich gefiltert wurde
                 print("-- filtern beendet --")
                 feedback("Filtervorgang erfolgreich abgeschlossen. \n"
                         "Audiodatei unter dem Namen MyTinnitusFreeSong.wav erstellt", "white", "green")
             else:
                 print("Fehler bei Filterfunktion. Siehe Compiler-Meldungen")
-                feedback("Fehlgeschlagener Filterversuch!", "red", "white")
+                feedback("Fehlgeschlagener Filterversuch. Ein SWAT-Team gut ausgebildeter Affen ist unterwegs!", "red", "white")
         except:
             feedback("Fehlgeschlagener Filterversuch. Drücke zuerst den Speichern Knopf"
                      "Stelle sicher, dass die Lautstärke mindestens einer Seite über 0"

TinnitusAnalyse/TinnitusDaten.csv

-Vorname;asd
-Nachname;asd
-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;5040.0
-rechte Lautstärke;0.02
+Vorname;Mustermann
+Nachname;Max
+linke Frequenz;8420.0
+linke Lautstärke;0.5
+linkes Rauschen Lautstärke;0.015
+linkes Rauschen untere Grenzfrequenz;7440.0
+linkes Rauschen obere Grenzfrequenz;11910.0
+rechte Frequenz;0.0
+rechte Lautstärke;0.0
 rechtes Rauschen Lautstärke;0.0
 rechtes Rauschen untere Grenzfrequenz;10.0
 rechtes Rauschen obere Grenzfrequenz;20000.0
-Kommentar;
+Kommentar;Lediglich auf dem linken Ohr höre ich einen hohen Piepston
+und ein leises Rauschen (vergleichbar mit einem laufenden 
+Kühlschrank)