Data generated as part of the PhD research project "Improving the perceptual quality of single-channel blind audio source separation" by Toby Stokes. Data relate to sound source separation algorithm development and testing and comprise audio source files and mixtures, separation quality measurements, and MATLAB code. Further project details can be found at http://iosr.uk/unmixing ThesisData/Publication Cross-Reference The data archive is structured according to the thesis chapter in which it was generated/used. This document provides a cross-reference to/from other publications in which it has been used. ThesisData-->Publications --- Chapter 6 --- Data also published at: BBC ARP (2012) AES 134 (2013) Textbook chapter (2014) --- Chapter 7 --- Data also used for: AES 137 (2014) BBC SNN (2015) Publications-->ThesisData --- BBC ARP (2012) --- Uses data in: Chapter 6 --- AES134 (2013) --- Uses data in: Chapter 6 --- AES137 (2014) --- Uses data in: Chapter 7 --- Textbook chapter (2014) --- Uses data in: Chapter 6 --- BBC SNN (2015) --- Uses data in: Chapter 7 References BBC ARP (2012): Stokes T, Brookes T, Hummersone C. (2012) 'Improving the Quality of Separated Audio: What Works?', BBC ARP Showcase AES134 (2013): Stokes T, Hummersone C, Brookes TS. (2013) 'Reducing Binary Masking Artefacts in Blind Audio Source Separation'. Rome, Italy: AES 134th Convention paper 8853 AES137 (2014): Stokes T, Hummersone C, Brookes TS, Mason A. (2014) 'Perceptual Quality of Audio Separated Using Sigmoidal Masks'. Los Angeles, USA: AES 137th Convention paper 9182 Textbook chapter (2014): Hummersone C, Stokes T, Brookes T. (2014) 'On the Ideal Ratio Mask as the Goal of Computational Auditory Scene Analysis'. in Naik GR, Wang W (eds.) Blind Source Separation: Advances in Theory, Algorithms and Applications Berlin/Heidelberg : Springer Article number 12 , pp. 349-368. BBC SNN (2015): Stokes T, Hummersone C, Brookes T. (2015) 'Improving the Quality of Un-Mixed Audio'. London, UK: BBC Sound Now & Next, 19-20 May Thesis (2015): Stokes T, "Improving the perceptual quality of single-channel blind audio source separation", PhD thesis, University of Surrey, UK, 2015

attribution—if publishing results generated using all or part of this dataset, please cite the most appropriate of the references listed on this page; if incorporating all or part of this dataset into a new dataset, please attribute the incorporated elements to the authors listed on this page and cite the doi. Thanks.