Resources: Sample data: (1) | Related publications: [under review]
JMFAR is an algorithm designed to recognize foraging behavior in grazing cattle. It analyzes a sound recording to recognize rumination and grazing activities.
This web-demo requires an audio recording file as input (download examples). The input sound must be a one channel (mono, 16-bit, 44.1 kHz) WAV file up to 15 min in length. Click “Choose file”, browse for the file to upload, click Upload, and then click Submit. If no file is provided, the example file will be loaded by default. The output is a TXT file with timestamps and labels corresponding to foraging activities (rumination and grazing bouts). Noise labels will be assigned when no activity is identified.
Both input (sound signal) and output (timestamps and labels) files can be imported in Audacity to get a graphical view of the recognition.