8 accepted papers
Acoustic identification of individual animals (AIID) is closely related to audio-based species classification but requires a finer level of detail to distinguish between individual animals within the same species. In this work, we frame AIID as a hierarchical multi-label classification task and prop…
Transformers have set new benchmarks in audio processing tasks, leveraging self-attention mechanisms to capture complex patterns and dependencies within audio data. However, their focus on pairwise interactions limits their ability to process the higher-order relations essential for identifying dist…
Hierarchical taxonomies are common in many contexts, and they are a very natural structure humans use to organise information. In machine learning, the family of methods that use this "extra" information is called hierarchical classification. However, applied to audio classification, this remains re…
Monitoring wildlife is an important aspect of conservation initiatives. Deep learning detectors can help with this, although it is not yet clear whether they can run efficiently on an embedded system in the wild. This paper proposes an automatic detection algorithm for the Bela embedded Linux device…
A typical audio signal processing pipeline includes multiple disjoint analysis stages, including calculation of a time-frequency representation followed by spectrogram-based feature analysis. We show how time-frequency analysis and nonnegative matrix factorisation can be jointly formulated as a spec…
Gaussian process (GP) audio source separation is a time- domain approach that circumvents the inherent phase approx- imation issue of spectrogram based methods. Furthermore, through its kernel, GPs elegantly incorporate prior knowl- edge about the sources into the separation model. Despite these com…
In audio signal processing, probabilistic time-frequency models have many benefits over their non-probabilistic counterparts. They adapt to the incoming signal, quantify uncertainty, and measure correlation between the signal’s amplitude and phase information, making time domain resynthesis straight…
Many approaches have been used in bird species classification from their sound in order to provide labels for the whole of a recording. However, a more precise classification of each bird vocalization would be of great importance to the use and management of sound archives and bird monitoring. In th…