Conservationists are increasingly using autonomous acoustic recorders to determine the
presence/absence and the abundance of bird species. Unlike humans, these recorders can …

Although field-collected recordings typically contain multiple simultaneously vocalizing birds
of different species, acoustic species classification in this setting has received little study so …

Trends in bird population sizes are an important indicator in nature conservation but
measuring such sizes is a very difficult, labour intensive process. Enormous progress in …

Linear prediction-based coders commonly utilise line spectral pairs (LSPs) to represent
linear prediction coefficients for reasons of filter stability and representational efficiency …

Automatic identification of bird species by their vocalization is studied in this paper. Bird
sounds are represented with two different parametric representations:(i) the mel-cepstrum …

This paper is related to the development of signal processing techniques for automatic
recognition of bird species. Three different parametric representations are compared. The …

Non-invasive bioacoustic monitoring is becoming increasingly popular for biodiversity
conservation. Two automated methods for acoustic classification of bird species currently …

This paper presents a method for automatic classification of birds into different species
based on the audio recordings of their sounds. Each individual syllable segmented from …

Automatic off-line classification and recognition of bird vocalizations has been a subject of
interest to ornithologists and pattern detection researchers for many years. Several new …

This paper presents a novel method to recognize inharmonic and transient bird sounds
efficiently. The recognition algorithm consists of feature extraction using wavelet …