Classifying and generalizing successful parameter combinations for sound design

Operating parametric systems in the context of sound design imposes cognitive and practical challenges. The present contribution applies rule extraction to analyze and to generalize a set of parameter combinations, which have been preselected by a user since they produce sound results within a desired perceptual category. Then, it is discussed how and under which conditions these generalizations can be used, for example, for the automation of specific tasks.Peer ReviewedPostprint (author's final draft

archiTECTONICS: Pre- and Trans-Disciplinary Reference in Beginning Design

This presentation was part of the session : Pedagogy: Procedures, Scaffolds, Strategies, Tactics24th National Conference on the Beginning Design StudentPedagogical approaches to beginning design in architecture often assume trans-disciplinary modes of exploration to filter problem parameters and sculpt perceptual outlook for iterative potential. A closer look suggests moments within the architectural design process that come before, or around, the discipline itself in the form of other disciplines accompanied by basic principles, such as Visual Literacy. Iterating and perceiving through every disciplinary dynamic, instance, and/or action in the process of designing transcends, builds, and structures its neighbor for explorative sequencing, intention, and growth of sensibilities in design resolution. An acute awareness of disciplinary state, in a maturing design process, can alleviate obscurity of ideological foundation and facilitate growth for trans-disciplinary thinking, making, and communicating in a root discipline such as architecture. How can beginning design instructors guide young designers to keep ideas and concepts for design in focus, recognizing that root disciplines transcend pre- and trans-disciplinary processes? Does recognizing variation in pace, induced by digital and analog tools, and intention of design iteration, by discipline, instill clarity by pre-disciplinary thinking, perception, and operation? Trans-disciplinary exercise provokes awareness of pre-disciplinary foundations furthering possibilities for unique root-disciplinary understandings and results. The developed exercise, archiTECTONIC, recognizes and cycles through reasoning, conceptualization, and iteration in a trans-disciplinary sequence, allowing the beginning design student to recognize pre-disciplinary ideology, pace, and purpose when processing ideas through fundamentals of architectural design. Engaging this as a strategy for seeing, thinking, and maneuvering through a dynamic process provides design liberty and clarity for processing and communicating in a root discipline, in this case architecture

Predictive uncertainty in auditory sequence processing

Copyright © 2014 Hansen and Pearce. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms

A review of differentiable digital signal processing for music and speech synthesis

The term “differentiable digital signal processing” describes a family of techniques in which loss function gradients are backpropagated through digital signal processors, facilitating their integration into neural networks. This article surveys the literature on differentiable audio signal processing, focusing on its use in music and speech synthesis. We catalogue applications to tasks including music performance rendering, sound matching, and voice transformation, discussing the motivations for and implications of the use of this methodology. This is accompanied by an overview of digital signal processing operations that have been implemented differentiably, which is further supported by a web book containing practical advice on differentiable synthesiser programming (https://intro2ddsp.github.io/). Finally, we highlight open challenges, including optimisation pathologies, robustness to real-world conditions, and design trade-offs, and discuss directions for future research