Search
Now showing items 21-30 of 48
Automatic acoustic identification of individuals in multiple species: improving identification across recording conditions.
(2019-04-26)
Many animals emit vocal sounds which, independently from the sounds' function, contain some individually distinctive signature. Thus the automatic recognition of individuals by sound is a potentially powerful tool for ...
End-to-End Probabilistic Inference for Nonstationary Audio Analysis
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 ...
Latent force models for sound: Learning modal synthesis parameters and excitation functions from audio recordings
(2017-10-05)
Latent force models are a Bayesian learning technique that combine physical knowledge with dimensionality reduction - sets of coupled differential equations are modelled via shared dependence on a low-dimensional latent ...
Data-Efficient Weakly Supervised Learning for Low-Resource Audio Event Detection Using Deep Learning
We propose a method to perform audio event detection under the common constraint that only limited training data are available. In training a deep learning system to perform audio event detection, two practical problems ...
Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling
The advance of technology for transmitting Data-over-Sound in various IoT and telecommunication applications has led to the concept of machine-to-machine over-the-air acoustic signalling. Reverberation can have a detrimental ...