Automation in extracting the songnote and it's sequence of the Bengalese finch song by using image processing

The Bengalese finch song has been widely studied for its unique features and similarity to human language. For computational analysis of the songs, they must first be represented in terms of behavioral sequences. This paper introduces a new approach for automatic detection and reorganization of the behavioral sequences via image processing. This approach is based on the recognition process used by a human to visually identify patterns in a sonogram image. The behavioral elements of birdsong are independent to birds (i.e. similar pattern does not appear in two birds). Considering this constraint, we believe that the proposed method is a generalized approach. On real birdsong data, we find that our method achieves a high accuracy rate. Thus, we consider our method a feasible approach.