Exploring Beat Frequencies using the Audio Object

In [1]:

    

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


    

In [2]:

    

from IPython.html.widgets import interactive
from IPython.display import Audio, display
import numpy as np


    

    




:0: FutureWarning: IPython widgets are experimental and may change in the future.

In [3]:

    

def beat_freq(f1=220.0, f2=224.0):
    max_time = 3
    rate = 8000
    times = np.linspace(0,max_time,rate*max_time)
    signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)
    print(f1, f2, abs(f1-f2))
    display(Audio(data=signal, rate=rate))
    return signal


    

In [4]:

    

v = interactive(beat_freq, f1=(200.0,300.0), f2=(200.0,300.0))
display(v)


    

    




220.0 224.0 4.0






    






                
              

In [5]:

    

v.kwargs


    

    
Out[5]:





{'f1': 220.0, 'f2': 224.0}

In [6]:

    

f1, f2 = v.children
f1.value = 255
f2.value = 260
plt.plot(v.result[0:6000])


    

    




255.0 260.0 5.0






    






                
              






    
Out[6]:





[<matplotlib.lines.Line2D at 0x7fbde2a61860>]