May 31 2022 About This Issue Author and Article Information Online Issn: 1531-5169 Print Issn: 0148-9267 © 2022 Massachusetts Institute of Technology2022Massachusetts Institute of Technology Computer Music Journal (2022) 45 (2): 1–2. https://doi.org/10.1162/comj_e_00602 Cite Icon Cite Permissions Share Icon Share Twitter LinkedIn Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation About This Issue. Computer Music Journal 2022; 45 (2): 1–2. doi: https://doi.org/10.1162/comj_e_00602 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsComputer Music Journal Search Advanced Search This issue’s articles each consider a different area of audio processing. The first three deal with specific signal-processing techniques in the areas of filtering, spatialization, and synthesis, respectively. The fourth concerns data mining in audio corpora, typically employing descriptors obtained from signal processing. In the first article, Lazzarini and Timoney present their digital filter designs that are derived from analog filters. The authors contend that examining the high-level block diagrams and transfer functions of an analog model can yield benefits not found in the “virtual analog” approach of attempting to analyze and reproduce every detail of a specific analog circuit. As evidence, they offer both linear and nonlinear versions of a digital filter derived from the analog state variable filter. They then extend the nonlinear design to a filter that goes beyond the analog model by incorporating ideas stemming from waveshaping synthesis. In the area of spatialization, the article by... You do not currently have access to this content.