3 accepted papers
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 syllables and duration modelling. The acoustic signal is decomposed into isolated segments, each segment containing a tempo…
Recent advances in automatic speech recognition have used large corpora and powerful computational resources to train complex statistical models from high-dimensional features, to attempt to capture all the variability found in natural speech. Such models are difficult to interpret and may be fragil…
This paper presents an automatic system for recognition of bird species from audio field recordings. The acoustic signal is first segmented into isolated time-frequency segments, each corresponding to an individual detected sinusoidal component. Each segment is represented by a temporal sequence of…