AES Dublin 2019
Paper Session P13
P13 - DSP: Part 1
Friday, March 22, 09:00 — 10:30 (Meeting Room 2)
Emmanouil Theofanis Chourdakis, Queen Mary University London - London, UK
P13-1 Applying Modern Sampling Methods to the Mastering Process for Digitally Recorded Material—Jamie Angus-Whiteoak, University of Salford - Salford, Greater Manchester, UK; JASA Consultancy - York, UK
Mastering often involves a change in sampling rates from a higher sampling rate to the sampling rate required by the distribution medium such as CD etc. This rate change implicitly implies a resampling process which can introduce artefacts into the output. Modern sampling theory gives useful insight into how to improve this process. This paper introduces modern sampling theory to highlight both the problems, and possible solutions, sample rate changing tof recorded digital audio at the highest quality possible. Possible methods for changing the rate are discussed and means of reducing the huge computational cost are described. The paper will show that by using modern sampling methods it is possible to change sample rates with near perfect to perfect fidelity.
Convention Paper 10176 (Purchase now)
P13-2 Application of a Resonance-Based Signal Decomposition to the Analysis of Subtractive Synthesizer Filter Resonances—Joseph Timoney, Maynooth University - Maynooth, Kildare, Ireland; Kemal Avci, Izmir Democracy University - Karabaglar/Izmir, Turkey; Victor Lazzarini, Maynooth University - Maynooth, Kildare, Ireland
This paper investigates the analysis of resonant filters as they appear in subtractive synthesizers. These filters and their properties are a key component in the synthesis chain. The work investigates the application of a new wavelet-like signal decomposition for examining the components that make up the filter output. It produces a pair of “low” and “high” components. The results will examine these components spectrally with the intention that they might lead to new insights into synthesis and modeling.
Convention Paper 10177 (Purchase now)
P13-3 An Automatic Mixing System for Multitrack Spatialization for Stereo Based on Unmasking and Best Panning Practices—Ajin Tom, McGill University - Montreal, Quebec, Canada; Joshua D. Reiss, Queen Mary University of London - London, UK; Philippe Depalle, McGill University - Montreal, QC, Canada
One of the most important tasks in audio production is to place sound sources across the stereo field so as to reduce masking and immerse the listener within the space. This process of panning sources of a multitrack recording to achieve spatialization and masking minimization is a challenging optimization problem, mainly because of the complexity of auditory perception. We propose a novel panning system that makes use of a common framework for spectral decomposition, masking detection, multitrack sub-grouping and frequency-based spreading. It creates a well spatialized mix with increased clarity while complying to the best panning practices. Both real-time and offline optimization-based approaches are designed and implemented. We investigate the reduction of inter-track auditory masking using the MPEG psychoacoustic model along with various other masking and spatialization metrics extended for multitrack content. Subjective and objective tests compare the proposed work against mixes by professional sound engineers and existing auto-mix systems.
Convention Paper 10178 (Purchase now)