ISSS608 2017-18 T3 Kiriti Yelamanchali Q2

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Angrybirds.gif VAST CHALLENGE 2018: MC1

Overview

Data Preparation

Bird sightings

Bird Calls

Bird Lives

Conclusion

Back to Dropbox

 


Deep Learning Model to recognize bird calls

For this analysis, a deep learning model is built to recognize the bird calls.

  • Python library librosa is ised for this purpose

1. The cleaned csv from data preparation stage is loaded into the pandas dataframe. Kiriti ml 1.png

2. A new dataframe column is created to match the mp3 file names in the data, after a bit of cleaning. Kiriti ml2.png

3. The wavelet spectographs of one bird are observed across different qualities, to have a visual representation of the quality [[File:Kiriti pipit comaprisions.png]|600 px]

It is evident that, the Qualities marked as A and B are useful in terms of model training.