Training corpus summary

projection of the training data. Each dot is one window of audio (explanation below). Hover a dot to hear the sound; click to open the recorded sample.

Loading projection…
LabelSamplesFragmentsFragment durations0.5s bins · hover for countsWindowsWindow durations0.1s bins · hover for counts
bark00{b:0,0,0,0,0,0,0,0,0,0,0}—{b:0,0,0,0,0,0,0,0,0,0,0}
yap00{b:0,0,0,0,0,0,0,0,0,0,0}—{b:0,0,0,0,0,0,0,0,0,0,0}
background00{b:0,0,0,0,0,0,0,0,0,0,0}—{b:0,0,0,0,0,0,0,0,0,0,0}
wind00{b:0,0,0,0,0,0,0,0,0,0,0}—{b:0,0,0,0,0,0,0,0,0,0,0}
homestead00{b:0,0,0,0,0,0,0,0,0,0,0}—{b:0,0,0,0,0,0,0,0,0,0,0}
traffic00{b:0,0,0,0,0,0,0,0,0,0,0}—{b:0,0,0,0,0,0,0,0,0,0,0}
wildlife00{b:0,0,0,0,0,0,0,0,0,0,0}—{b:0,0,0,0,0,0,0,0,0,0,0}
gunshot00{b:0,0,0,0,0,0,0,0,0,0,0}—{b:0,0,0,0,0,0,0,0,0,0,0}
wrongdog00{b:0,0,0,0,0,0,0,0,0,0,0}—{b:0,0,0,0,0,0,0,0,0,0,0}

Hover the table row above to highlight the dots in scatterplot. Click to select.

Each dot is a window. What are YAMNet windows and how are they made?

Explanation of how labelled fragments are divided into embedding windows

Learn more about YAMNET windows