In [6]:
from nussl import jupyter_utils, AudioSignal
from wand.image import Image as WImage
import glob
import os

from IPython.core.display import display, HTML
display(HTML("<style>.container { width:65% !important; font-size:1em;}</style>"))

from IPython.display import HTML

HTML('''<script>
code_show=true; 
function code_toggle() {
 if (code_show){
 $('div.input').hide();
 } else {
 $('div.input').show();
 }
 code_show = !code_show
} 
$( document ).ready(code_toggle);
</script>
<form action="javascript:code_toggle()"><input type="submit" value="Click here to toggle on/off the raw code."></form>''')
Out[6]:

Figure 3.6

Distribution of confidence measure (i.e. predicted performance) and source-to-distortion (i.e. actual performance) for the direction of arrival separation algorithm as applied to 5000 mixtures in the validation set. On the right, we can see that the algorithm actually fails about half the time (the peak at 0 dB SDR). We also get a peak at 0.0 confidence.}

In [24]:
WImage(filename='../spatial_confidence_relationship.png')
Out[24]: