Download An Interdisciplinary Approach to Audio Effect Classification The aim of this paper is to propose an interdisciplinary classification of digital audio effects to facilitate communication and collaborations between DSP programmers, sound engineers, composers, performers and musicologists. After reviewing classifications reflecting technological, technical and perceptual points of view, we introduce a transverse classification to link disciplinespecific classifications into a single network containing various layers of descriptors, ranging from low-level features to high-level features. Simple tools using the interdisciplinary classification are introduced to facilitate the navigation between effects, underlying techniques, perceptual attributes and semantic descriptors. Finally, concluding remarks on implications for teaching purposes and for the development of audio effects user interfaces based on perceptual features rather than technical parameters are presented.
Download Granular Resynthesis for Sound Unmixing In modern music genres like Pop, Rap, Hip-Hop or Techno many songs are built in a way that a pool of small musical pieces, so called loops, are used as building blocks. These loops are usually one, two or four bars long and build the accompaniment for the lead melody or singing voice. Very often the accompanying loops can be heard solo in a song at least once. This can be used as a-priori knowledge for removing these loops from the mixture. In this paper an algorithm based on granular resynthesis and spectral subtraction is presented which makes use of this a-priori knowledge. The algorithm uses two different synthesis strategies and is capable of removing known loops from mixtures even if the loop signal contained in the mixture signal is slightly different from the solo loop signal.
Download High Accuracy Frame-by-Frame Non-Stationary Sinusoidal Modelling This paper describes techniques for obtaining high accuracy estimates, including those of non-stationarity, of parameters for sinusoidal modelling using a single frame of analysis data. In this case the data used is generated from the time and frequency reassigned short-time Fourier transform (STFT). Such a system offers the potential for quasi real-time (frame-by-frame) spectral modelling of audio signals.