AES 5th International Conference on Automotive Audio

The audio processing requirements for automotive systems continue to grow. This is driven by a combination of concurrent use cases and high channel counts. To support this, modern SOCs and DSPs employ multiple threads and cores to increase computational throughput. This paper discusses how to best leverage these hardware features for audio processing work loads and how to accurately profile systems in a multi-threaded environment.

ID:03_Beckmann

This paper presents a methodology for evaluating the perceived quality of an audio processing device. It is based on two stages, namely Objective and Subjective.

The Objective stage consists of producing objective measurements of audio signal descriptors of both source and processed signals. Based on the collected dataset, deviations to Target Reference values are computed and utilized to generate statistical analysis on the performance of the device.
The Subjective stage is performed to assess the quality of the processed audio content as perceived by the end-users. Based on a Mean Opinion Score framework, it collects subjective assessments on the following attributes: Target Consistency and Impact on Source Quality. The results are processed to describe the performance of the device being assessed.

As a sample implementation of our methodology, the performance of three different loudness processors are evaluated and the results of Objective and Subjective stages are used for defining their overall quality performance.

ID:03_Travaglini

While traditional automotive audio systems were used to a variety of architectures, the global trend in automotive is to centralization and unification in the electrical and electronics (E/E) architecture.
In this document, we detail the impact the E/E architecture evolution has on audio processing design and implementation projects, up to the sound tuning in pre-production. We first understand the variety of traditional architectures and their implications, before following the differences observed on newer, centralized architectures from an audio processing development and project points of view.

ID:03_Andriamakaoly