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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.
Author (s): Beckmann, Paul; Whitecar, John; Peil, Jeff; Hegde, Karthik
Affiliation:
DSP Concepts, Santa Clara, CA, USA
(See document for exact affiliation information.)
Publication Date:
2022-06-06
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Session subject:
Automotive Audio
Permalink: https://aes2.org/publications/elibrary-page/?id=21822
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Beckmann, Paul; Whitecar, John; Peil, Jeff; Hegde, Karthik; 2022; Achieving Maximum Audio Processing Throughput on the Latest Chipsets [PDF]; DSP Concepts, Santa Clara, CA, USA; Paper 21; Available from: https://aes2.org/publications/elibrary-page/?id=21822
Beckmann, Paul; Whitecar, John; Peil, Jeff; Hegde, Karthik; Achieving Maximum Audio Processing Throughput on the Latest Chipsets [PDF]; DSP Concepts, Santa Clara, CA, USA; Paper 21; 2022 Available: https://aes2.org/publications/elibrary-page/?id=21822