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Imagine the points are not just drawings on a piece of paper, but actual measurements of real world objects. So instead of giving the axes in the figure arbitrary names like 'X' and 'Y', we can give them meaningful measures of a short sound recording: 'bass' and 'treble'. | Imagine the points are not just drawings on a piece of paper, but actual measurements of real world objects. So instead of giving the axes in the figure arbitrary names like 'X' and 'Y', we can give them meaningful measures of a short sound recording: 'bass' and 'treble'. | ||
[[File:2d_classify_sound.png|800px]] | [[File:2d_classify_sound.png|800px]] | ||
Now we can think of class 1 to represent lower frequency sounds and class 0 to represent sounds containing higher frequencies. Our new point P new basically is a measurement of a new sound that we want to classify. That means we want to know, if it belongs to the low or high frequency sounds. | |||
Note that we can extend this concept easily by taking more measurements of our sounds. For example we could measure how sharp the onsets of our sounds are. A drum sound will have a very sharp onset, whereas a violin sound will have a smooth onset. We call this measurement the 'attack' of a sound. Now let's consider we add the attack as a third dimension to out picture. The axis with the attack will point into the screen. | |||
=Homework= | =Homework= |