Speculative digital sound synthesis

Hiroki Nishino, Adrian David Cheok

研究成果: 圖書/報告稿件的類型會議稿件同行評審

摘要

In this paper, we propose a novel implementation technique, speculative digital sound synthesis, as a practical solution for the tradeoff between computational efficiency and sample-rate accurate control in sound synthesis. Our technique first optimistically assumes that there will be no change to the control parameters for sound synthesis and computes by audio vectors at the beginning of a DSP cycle. Then, after the speculation, when any change is made in the same cycle, it recomputes only the necessary amount of the output. As changes to control parameters are normally quite sporadic in most situations, recomputation is rarely performed. Hence, the computational efficiency can be maintained mostly equivalent to the computation by audio vectors without any speculation, when no changed is made to the control parameters. Even when any change is made, the overhead can be reduced since the recomputation is only applied to those sound objects that had their control parameters updated, and the output samples in the past are not recomputed. Thus, our speculative digital sound synthesis technique can provide both sample-rate accurate control in sound synthesis and better performance efficiency by the audio vectors in most practical situations. The tradeoff between these two issues has been a long-standing problem in computer music software design.

原文英語
主出版物標題SMC 2016 - 13th Sound and Music Computing Conference, Proceedings
編輯Rolf Grossmann, Georg Hajdu
發行者Zentrum fur Mikrotonale Musik und Multimediale Komposition (ZM4), Hochschule fur Musik und Theater
頁面358-365
頁數8
ISBN(電子)9783000537004
出版狀態已出版 - 2019
事件13th Sound and Music Computing Conference, SMC 2016 - Hamburg, 德國
持續時間: 31 08 201903 09 2019

出版系列

名字SMC 2016 - 13th Sound and Music Computing Conference, Proceedings

Conference

Conference13th Sound and Music Computing Conference, SMC 2016
國家/地區德國
城市Hamburg
期間31/08/1903/09/19

文獻附註

Publisher Copyright:
Copyright: © 2016 First author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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