diff --git a/frequence_process.py b/frequence_process.py
new file mode 100644
index 0000000..5d07d28
--- /dev/null
+++ b/frequence_process.py
@@ -0,0 +1,29 @@
+import slider as sl
+import sound_process
+from tkinter import filedialog as fd
+from matplotlib import pyplot as plt
+
+def process_with_map():
+    filename = fd.askopenfilename()
+    beatmap = sl.Beatmap.from_path(filename)
+    timing = beatmap.timing_points[0]
+    bpm = timing.bpm
+    offset = timing.offset.total_seconds() * 1000
+    data = sound_process.process_song(beatmap.audio_filename, bpm, offset0=offset)
+    
+    timings, amplitudes, freqs = [x[0].total_seconds() for x in data], [x[1] for x in data], [x[2] for x in data]
+
+    original_times = [x.time.total_seconds() for x in beatmap.hit_objects(spinners=False) if x.time.total_seconds() <= timings[len(timings) - 1]]
+
+    #bx.scatter(original_times, ys=10, zs=0)
+    plt.scatter(timings, amplitudes, marker="x", c="red")
+    for x in original_times:
+        plt.axvline(x=x)
+
+    plt.show()
+
+def main():
+    process_with_map()
+
+if __name__ == "__main__":
+    main()
diff --git a/sound_process.py b/sound_process.py
index 9df7306..39db92d 100755
--- a/sound_process.py
+++ b/sound_process.py
@@ -480,13 +480,13 @@ def process_song(filename, bpm, offset0=0, div_len_factor=1, n_iter_2=-1, thresh
     void_freq(filename, offset, min(song_len, offset+div_len*(n_iter+1)+0.01), 4*60/bpm, minfreq=0, maxfreq=220, upperthr=5000, ampthr=60, ampfreq = 1200, ampval = 5.0, leniency = 0.005, write=True, linear=False, output_file=filtered_name)
     #void_freq(filename, offset, offset+div_len*(n_iter+1)+0.01, 4*60/bpm, minfreq=0, maxfreq=330, upperthr=2500, ampthr=60, ampfreq = 1200, ampval = 1/2000, leniency = 0.0, write=True, linear=True, output_file=filtered_name)
     datares = filter_n_percent_serial(filtered_name, offset, n_iter, div_len, threshold) 
-    datares = snap(datares, 44100, bpm, 4, True)
-    frequencies = get_freq(filtered_name, offset, div_len, div_len*n_iter, datares, True)
+    datares = snap(datares, 44100, bpm, 4, False)
+    frequencies = get_freq(filtered_name, offset, div_len, div_len*n_iter, datares, False)
     Path(f"{filename}_trimmed.wav").unlink()
     return convert_tuple(datares, frequencies)
 
 def main():
-    data = process_song("tetris_4.wav", 160, n_iter_2 = 64)
+    data = process_song("audio.mp3", 160, n_iter_2 = 64)
     #print(data)
     print("Program finished with return 0")