基于物联网的多模态助听器系统的FPGA实现

Godwin Enemali, A. Bishnu, T. Ratnarajah, T. Arslan
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引用次数: 0

摘要

本文介绍了一种基于云的多模态助听器(HA)系统的实现。它确定了要在嵌入式现场可编程门阵列(FPGA)上实现的主要处理模块,并重点介绍了处理HA多个输入源集成的自定义模块的各个方面。特别是,集成块以不同的采样率处理音频和视频(AV)数据的组合,每个数据都有不同的比特数来编码它们的信息。通过对组合信号中的每个分量分配一定比例的比特数,实现AV数据的无缝组合,实现所有数据源的实时数据传输。此外,还讨论了安全性等关键问题,并提出了在未来工作中解决这些问题的计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards an FPGA Implementation of IOT-Based Multi-Modal Hearing AID System
This paper presents implementing a cloud-based multimodal hearing aid (HA) system. It identifies major processing blocks to be implemented on an embedded Field Programmable Gate Array (FPGA) and focuses on aspects of a custom block that deals with the integration of multiple input sources of the HA. In particular, the integration block deals with the combination of audio and video (AV) data at different sampling rates, with each having a different number of bits to encode their information. It realizes seamless combination of AV data by assigning a scaled number of bits to each component in the combined signal to achieve a real-time data transmission of all data sources. In addition, key issues such as security is discussed and plan to address this in our future work is stated.
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