Many biological monitoring projects rely on acoustic detection of birds. Despite increasingly
large datasets, this detection is often manual or semi-automatic, requiring manual …

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 …

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 …

This paper presents a method for an unsupervised discovery of acoustic patterns in bird
vocalisations recorded in real world natural environments. The proposed method employs …

This paper presents an automatic system for recognition of bird species from field audio
recordings. The proposed system employs a novel method for detection of sinusoidal …

Inside the Neonatal Intensive Care Unit (NICU), exposure to loud sounds such as acoustic
medical alarms can have adverse effects on neonates, parents, and medical staff. With the …

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 …

A large number of alarm sounds triggered by biomedical equipment occur frequently in the
noisy environment of a neonatal intensive care unit (NICU) and play a key role in providing …

Alarm sounds triggered by biomedical equipment play a key role in providing healthcare in a
neonatal intensive care unit (NICU). This paper presents our work on automatic detection of …