Init

.gitignore

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+song.npy

visualiser/importer.py

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+import wave
+import numpy
+
+# Read file to get buffer use a 16000 hz wav                                                                                               
+ifile = wave.open("/home/bruno/song.wav")
+samples = ifile.getnframes()
+audio = ifile.readframes(samples)
+
+# Convert buffer to float32 using NumPy                                                                                 
+audio_as_np_int16 = numpy.frombuffer(audio, dtype=numpy.int16)
+audio_as_np_float32 = audio_as_np_int16.astype(numpy.float32)
+
+# Normalise float32 array so that values are between -1.0 and +1.0                                                      
+max_int16 = 2**15
+audio_normalised = audio_as_np_float32 / max_int16
+with open('song.npy', 'wb') as f:
+    numpy.save(f, audio_normalised)

visualiser/player.py

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+#import modules
+import numpy as np
+import time
+import math
+import pyaudio
+import pygame as pg
+
+#load song.npy
+data = np.load('song.npy')
+
+surface = pg.display.set_mode((800, 600))
+
+progress = 0
+
+average = 0
+
+# define callback (2)
+def callback(in_data, frame_count, time_info, status):
+    #read frames from data
+    global progress
+    global average
+    #print(frame_count)
+    #read frames from data
+    frames = data[progress:progress+frame_count]
+    #average half of the frames
+    framesx = []
+    for i in range(0, len(frames), 80):
+        average = np.average(frames[i:i+2])
+        framesx.append(average)
+    #print(len(framesx))
+    for tmp in framesx:
+        #remap tmp from -1 to 1 to 0 to 255
+        tmp = (tmp + 1) * 127.5
+        #convert to int
+        tmx, _ = math.modf(tmp)
+        tmp = tmx * 255
+        #set treshold
+        #print(tmp)
+        #create color
+        if tmp > 250:
+            xtmp = 255
+        else:
+            xtmp = 0
+        color = (xtmp, xtmp, xtmp)
+        #set screen to color
+        surface.fill(color)
+        #update progress
+        pg.display.flip()
+    #increment progress
+    progress += frame_count
+    #return frames
+    return (frames, pyaudio.paContinue)
+#initialise pyaudio
+pg.init()
+p = pyaudio.PyAudio()
+#play the song from data
+stream = p.open(format=p.get_format_from_width(data.dtype.itemsize),
+                channels=1,
+                rate=16000,
+                output=True,
+                stream_callback=callback)
+
+stream.start_stream()
+
+while True:
+    time.sleep(0.1)

visualiser/plotter.py

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+# import numpy
+import matplotlib.pyplot as plt
+import numpy as np
+
+#load the saved data
+data = np.load('song.npy')
+#remap tmp from -1 to 1 to 0 to 255
+tmp = (data + 1) * 127.5
+#plot the data
+plt.plot(tmp)
+plt.show()