This paper investigates acoustic modeling for recognition of bird species from audio field
recordings. First, the acoustic scene is decomposed into isolated segments, corresponding …

In bioacoustics, automatic animal voice detection and recognition from audio recordings is
an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where …

The study of bird populations is crucial for biodiversity research and conservation. Deep
artificial neural networks have revolutionized bird acoustic recognition; however, most …

Automatic system for recognition of multiple bird species in audio recordings is presented.
Time-frequency segmentation of the acoustic scene is obtained by employing a sinusoidal …

Birds play an extremely important role in an ecosystem, identifying bird species in audio
recordings is challenging and has high research value. This paper aims to develop an …

This paper explores low resource classifiers and features for the detection of bird activity,
suitable for embedded Automatic Recording Units which are typically deployed for long term …

Automated digital recordings are useful for large-scale temporal and spatial environmental
monitoring. An important research effort has been the automated classification of calling bird …

This paper aims at the monitoring of birds and their ecological environment in the island and
coastal wetland ecosystems. A new approach of island bird detection is proposed based on …

Bioacoustics has recently become one of the" big data" research topics since many bird
monitoring projects have collected terabytes of audio using remote sensors. The challenge …

This paper presents an HMM-based automatic system for recognition of bird species from
audio field recordings. It includes an improved unsupervised modelling of individual bird …