

In [14]:

    
%%HTML
# If you haven't hit "Shift+Enter" to load in the video with this command.
<video width="640" height="480" controls>
  <source src="dep/videos/pluckTraining.mp4" type="video/mp4">
</video>
</br>
<b>   After you watch the video, then press Space Bar to proceed to the next cell</b>









    




# If you haven't hit "Shift+Enter" to load in the video with this command.


   After you watch the video, then press Space Bar to proceed to the next cell

Of course remember with each new cell to push "Shift - Enter"

In the next part, you will be given a new graph like the one you saw in the video

You task is to trace along the line and "hear" the data of the graph.

Push the space bar to go on to the next part



In [15]:

    
%matplotlib notebook

from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgets
from IPython.display import display
from gtts import gTTS
import os

import numpy as np
import matplotlib.pyplot as plt
#%matplotlib inline

import pandas as pd
import ctcsound
import time

try:
    pt
except NameError:
    var_exists = False
else:
    pt.stop()
    pt.join()
    time.sleep(2)

cs = ctcsound.Csound()
csd_string = '''
<CsoundSynthesizer>
<CsOptions>
; Select audio/midi flags here according to platform
-odac    ;;;realtime audio out
;-iadc    ;;;uncomment -iadc if real audio input is needed too
; For Non-realtime ouput leave only the line below:
; -o pluck.wav -W ;;; for file output any platform
</CsOptions>
<CsInstruments>

sr = 44100
ksmps = 32
nchnls = 2
0dbfs  = 1

instr 1

kcps = p4
icps = p5
ifn  = 0
imeth = p6

asig pluck 0.7, kcps, icps, ifn, imeth, .1, 10
     outs asig, asig

endin
</CsInstruments>

<CsScore>
f 0 14400


</CsScore>

</CsoundSynthesizer>
'''

cs.compileCsdText(csd_string)
cs.start()



index = 0
fig = plt.figure()
ax = fig.add_subplot(111)


ax.plot(np.random.rand(10))

pt = ctcsound.CsoundPerformanceThread(cs.csound())
pt.play()


def onclick(event):
    in_min  = 0
    in_max = 1
    out_min= 220
    out_max = 800


    global index
    index = event.ydata
    #print (index) //we will not be speaking the numerical representation
    #tts = gTTS(text=(str(index)+'percent'), lang='en')
    #tts.save("num.mp3")
    #os.system("afplay num.mp3")
    
    freq = (index - in_min) * (out_max - out_min) / (in_max - in_min) + out_min  
    #print(freq)  

    pt.scoreEvent(False, 'i', (1, 0, 5, freq, 220, 1))

cid = fig.canvas.mpl_connect('button_press_event', onclick)

Time to move onto the Exploration Module

Now that you have the general idea of this straight forward sound representation. It is time to move on to the next phase of exploring the sonification. Go back to the list of available notebooks and select "Plucked String Exploration Module"



In [ ]: