Visualization of audio records for automatic bird species identification

This paper presents a new visual analytic mechanism to allow ornithologists to analyze large collections of audio signals for automatic bird species identification. The proposed mechanism is based on audio signal processing, machine learning and visualization techniques. A collection of Colombian birds audio records is used to build a visualization that allows to visually analyze bird species. Results show that the proposed method is promising to facilitate the identification of bird species.