DELOITTE

Bird Song Recognition

Data mining and statistical classification of bird song audio in R.

R
Classification
Signal Analysis

Problem

Bird song recognition is an audio-classification problem: extracting useful information from sound recordings and using it to distinguish between classes. This project explored that problem through data mining and statistical classification in R.

TODO(Abraham): add the project context — who the work was for, the precise recognition task, and how a successful result would be used.

Approach

The work combined signal analysis of bird song audio with statistical classification in R.

TODO(Abraham): describe the audio dataset — its source, size, species or classes represented, recording format, and train/test split.

TODO(Abraham): describe the signal-processing and feature-extraction steps used to turn audio recordings into model inputs.

TODO(Abraham): name the classification methods compared and explain how the models were trained and validated.

Tech stack

R
Statistical classification
Signal analysis

TODO(Abraham): list the R packages used for audio processing, modelling, and visualisation.

Outcome

The project applied a statistical classification workflow to bird song audio.

TODO(Abraham): add the evaluation metrics and results, including the best performing model and an appropriate baseline.

TODO(Abraham): add the final outcome — what the analysis demonstrated, what was delivered, and any academic or business impact.