[AUDITORY] Research Fellows in Audio Source Separation and Perceptual Audio (deadline: 24 Jan 2018) (Mark D Plumbley )


Subject: [AUDITORY] Research Fellows in Audio Source Separation and Perceptual Audio (deadline: 24 Jan 2018)
From:    Mark D Plumbley  <0000005fa4625f04-dmarc-request@xxxxxxxx>
Date:    Thu, 18 Jan 2018 11:23:05 +0000
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

Dear Auditory List, Please forward the job opportunities below to anyone=20 who may be interested... deadline approaching! Many thanks, Mark ---------------------------------------------------------------- Research Fellows in Audio Source Separation and Perceptual Audio Evaluation University of Surrey, UK Salary: GBP 30,688 to GBP 38,833 per annum =20 Closing Date: 24 January 2018 (23:59 GMT) Applications are invited for two Research Fellow posts: (a) Research Fellow in Source Separation for Musical Audio Repurposing https://jobs.surrey.ac.uk/107017 (b) Research Fellow in Perceptual Audio Evaluation=20 https://jobs.surrey.ac.uk/107117 These are to work full-time on an EPSRC funded project "Musical Audio Repurposing using Source Separation" (https://cvssp.github.io/maruss-website/) from 1 February 2018 to 31 July 2018. This project is tackling the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. The project is investigating new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation. For the Research Fellow in Source Separation for Musical Audio Repurposing: The candidate will be responsible for investigating and developing new and enhanced methods for high quality musical audio source separation. These may include methods based on deep learning, score-informed musical source separation, non-negative matrix factorisation (NMF), and interactive methods employing user feedback. The candidate will be working as part of a team, with other researchers focussing on perceptual evaluation methods and software development of open-source research tools. The successful applicant is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: audio source separation, audio upmixing, musical audio processing, non-negative matrix factorization (NMF) and/or deep learning. Experience in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage, as will academic publications in a relevant area. For Research Fellow in Perceptual Audio Evaluation: The candidate will be responsible for perceptually evaluating the results of musical audio separation and repurposing. This will involve preparing and conducting subjective experiments, analysing the results, and comparing these with extant metrics and perceptual models. The candidate will make use of the resulting data to either refine or develop new metrics or perceptual models to aid the development and evaluation of musical source separation and repurposing algorithms. The successful applicant will have undertaken doctoral level research in experimental/applied psychoacoustics or similar and will have expertise in psychoacoustics, with an understanding of factors likely to be related to source separation and audio repurposing. Skills in and experience of the following are essential: the design and execution of listening-based subjective experiments; and statistical analysis and modeling. Also essential are strong writing skills for audiences of varying levels of technical expertise, and the ability to work independently and manage time effectively. A background in programming in one or more of Max/MSP, PureData, Python, C++ and/or MATLAB will be an advantage. Specific skills in source separation and audio repurposing and the development of related perceptual models will also be an advantage, as will academic publications in a relevant area. The project is led by Prof Mark Plumbley in the Machine Audition Lab of the Centre for Vision Speech and Signal Processing (CVSSP), and this posts will be jointly supervised by Dr Russell Mason in the Institute of Sound Recording (IoSR). CVSSP (https://www.surrey.ac.uk/cvssp) is one of the largest groups of its type in the UK, with over 120 active researchers working in the areas of vision, image processing, and audio, and a grant portfolio of over =A312M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio, and video and audio capture facilities supporting research in real-time video and audio processing and visualisation. The IoSR (http://iosr.surrey.ac.uk/) is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumbley@xxxxxxxx) or Dr Russell Mason (r.mason@xxxxxxxx). For more information and to apply online, please visit:=20 (a) Research Fellow in Source Separation for Musical Audio Repurposing https://jobs.surrey.ac.uk/107017 (b) Research Fellow in Perceptual Audio Evaluation https://jobs.surrey.ac.uk/107117 We acknowledge, understand and embrace diversity. -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP)=20 University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley@xxxxxxxx =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separ= ation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 Paper submission deadline: February 4, 2018 (Full paper upload by February= 7) =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D


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