发表机构
University College Cork（科克大学学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出受Audification启发的I2S信号声化设计，经评估发现其故障可分性依赖结构与有效载荷信息的联合表示，而非仅过采样缩放，为I2S传输故障检测提供新途径。
AI 中文摘要
本文概述了一种用于支持I2S传输信号故障检测的声化设计。I2S是一种用于集成电路间实时数字音频通信的协议，虽被广泛通用使用，但未内置错误检测功能。此外，鉴于该协议的特性，影响时序、帧结构和对齐方式的传输故障，采用传统视觉方法难以识别。所提出的设计采用了受Audification启发的方法，其中过采样控制时间重缩放，以在独立的立体声通道中呈现协议结构（SCK和WS）与有效载荷数据（SD）。开展了初步计算可行性研究，以测量生成的听觉表示中I2S故障的特征空间可分性，以及听众表现。该设计在多种有效载荷类型和错误条件（包括抖动、位滑移和字长错误）下进行评估，通过提取特征的聚类分析评估类别可分性。评估结果显示，过采样会导致特征值发生系统性变化，但并未显著提升错误类别间的可分性；然而，随着通道间结构与有效载荷信息联合表示的变化，可分性出现适度但一致的提升。研究结果表明，声化通信协议数据的特征空间可分性可能依赖于互补信息流的整合，而非仅依赖信号缩放。
英文摘要
This paper outlines a sonification design to support fault detection in the transmission of I2S transport signals. I2S is a protocol for communicating real-time digital audio between integrated circuits that, while in wide and general use, does not include built-in error detection. Moreover, given the nature of the protocol transmission faults affecting timing, framing and alignment can be difficult to identify using conventional visual methods. The proposed design addresses this with an approach informed by Audification, wherein oversampling controls temporal rescaling to render protocol structure (SCK and WS) and payload data (SD) across separate stereo channels. A preliminary computational feasibility study was carried out to measure feature-space separability of I2S faults in the generated auditory representations as opposed to listener performance. It evaluates the design across several payload types and error conditions including jitter, bit-slip, and word-length errors. Class separability was assessed through clustering analyses of extracted features. The evaluation results show that while oversampling produces systematic changes in feature values, it does not meaningfully improve separability between error classes. However, a modest but consistent improvement in separability is observed as a function of the joint representation of structural and payload information across channels. The findings suggest that feature-space separability in sonified communication protocol data may be dependent on the integration of complementary information streams, rather than on signal scaling alone.
Comments7 pages, 3 figures, 7 equations
