28 citations · 271 across the 94 of their papers we have counts for
6 papers · 1 filter
Audio-based identification of beehive states
Inês Nolasco, Alessandro Terenzi, Stefania Cecchi +3
The absence of the queen in a beehive is a very strong indicator of the need for beekeeper intervention. Manually searching for the queen is an arduous recurrent task for beekeeper…
To bee or not to bee: Investigating machine learning approaches for beehive sound recognition
Inês Nolasco, Emmanouil Benetos
In this work, we aim to explore the potential of machine learning methods to the problem of beehive sound recognition. A major contribution of this work is the creation and release…
SubSpectralNet - Using Sub-Spectrogram based Convolutional Neural Networks for Acoustic Scene Classification
Sai Samarth R Phaye, Emmanouil Benetos, Ye Wang
Acoustic Scene Classification (ASC) is one of the core research problems in the field of Computational Sound Scene Analysis. In this work, we present SubSpectralNet, a novel model…
An extensible cluster-graph taxonomy for open set sound scene analysis
Helen L Bear, Emmanouil Benetos
We present a new extensible and divisible taxonomy for open set sound scene analysis. This new model allows complex scene analysis with tangible descriptors and perception labels.…
A Study On Convolutional Neural Network Based End-To-End Replay Anti-Spoofing
Bhusan Chettri, Saumitra Mishra, Bob L. Sturm +1
The second Automatic Speaker Verification Spoofing and Countermeasures challenge (ASVspoof 2017) focused on "replay attack" detection. The best deep-learning systems to compete in…
Optimal Neural Network Feature Selection for Spatial-Temporal Forecasting
Eurico Covas, Emmanouil Benetos
In this paper, we show empirical evidence on how to construct the optimal feature selection or input representation used by the input layer of a feedforward neural network for the…