Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path Signature

2 code implementations • 5 Jun 2020 • Zhen Shao, Ryan Sze-Yin Chan, Thomas Cochrane, Peter Foster, Terry Lyons

In this paper, we propose a dimensionless anomaly detection method for multivariate streams.

Anomaly Detection Time Series +1

Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging

2 code implementations • 13 Jul 2016 • Yong Xu, Qiang Huang, Wenwu Wang, Peter Foster, Siddharth Sigtia, Philip J. B. Jackson, Mark D. Plumbley

For the unsupervised feature learning, we propose to use a symmetric or asymmetric deep de-noising auto-encoder (sDAE or aDAE) to generate new data-driven features from the Mel-Filter Banks (MFBs) features.

Audio Tagging General Classification +1

Identifying Cover Songs Using Information-Theoretic Measures of Similarity

no code implementations • 9 Jul 2014 • Peter Foster, Simon Dixon, Anssi Klapuri

This paper investigates methods for quantifying similarity between audio signals, specifically for the task of of cover song detection.

Cover song identification Time Series +1

Sequential Complexity as a Descriptor for Musical Similarity

no code implementations • 27 Feb 2014 • Peter Foster, Matthias Mauch, Simon Dixon

To verify that our descriptors capture musically relevant information, we incorporate our descriptors into similarity rating prediction and song year prediction tasks.