Automotive audio systems continue to grow in complexity with an ever-increasing set of use cases. System architectures must now consider not only playback processing, but also telephony, voice control, safety sounds, individual sound zones, and even road noise cancellation. These use cases require huge compute resources that must be distributed across multiple cores. This paper explores the audio processing throughput of the latest standalone automotive DSPs and multicore SOCs with integrated DSPs. The effects of caching, memory architecture, and multicore are presented and demonstrate how to configure an automotive audio system for maximum audio processing throughput.

Authors: Beckmann, Paul; Whitecar, John; Peil, Jeff; Hegde, Karthik
Affiliation: DSP Concepts, Santa Clara, CA, USA
AES Conference: 2022 AES International Conference on Automotive Audio (June 2022)
Paper Number: 21
Publication Date: June 8, 2022 Import into BibTeX
Subject: Automotive Audio
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=21822

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:   /conf/2022/automotive/2022_aa_paper_21.pdf

Start a discussion about this paper!