414 citations · 726 across the 5 of their papers we have counts for
5 papers
Discriminative Enhancement for Single Channel Audio Source Separation using Deep Neural Networks
Emad M. Grais, Gerard Roma, Andrew J. R. Simpson +1
The sources separated by most single channel audio source separation techniques are usually distorted and each separated source contains residual signals from the other sources. To…
Hierarchical learning for DNN-based acoustic scene classification
Yong Xu, Qiang Huang, Wenwu Wang +1
In this paper, we present a deep neural network (DNN)-based acoustic scene classification framework. Two hierarchical learning methods are proposed to improve the DNN baseline perf…
Acoustic Scene Classification
Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell +1
In this article we present an account of the state-of-the-art in acoustic scene classification (ASC), the task of classifying environments from the sounds they produce. Starting fr…
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
Dan Stowell, Mark D. Plumbley
Automatic species classification of birds from their sound is a computational tool of increasing importance in ecology, conservation monitoring and vocal communication studies. To…
Predictive Information Rate in Discrete-time Gaussian Processes
Samer A. Abdallah, Mark D. Plumbley
We derive expressions for the predicitive information rate (PIR) for the class of autoregressive Gaussian processes AR(N), both in terms of the prediction coefficients and in terms…