Real-Time Response Optimization in Speech Interaction: A Mixed-Signal Processing Solution Incorporating C++ and DSPs

Aiming at the high real-time requirements of mobile devices, smart home and medical terminals, this paper proposes a mixed-signal processing scheme with C++ and DSP synergy, and designs an end-to-end framework to reduce the delay from feature extraction to instruction parsing. Experimental results show that the response time under typical instructions is reduced by about 34 % compared with existing schemes. The scheme follows the secure coding specification and adopts a modular sandboxing mechanism to prevent signal injection attacks, providing a reference paradigm for high real-time and high-security scenarios such as in-vehicle voice and remote control.

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Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/icaita67588.2025.11137915
Citations
2
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
2.97
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article

Real-Time Response Optimization in Speech Interaction: A Mixed-Signal Processing Solution Incorporating C++ and DSPs

Xianghong Ma, Huangyin Chen, Jiawen Li, Y.F. Mao
2 citations
Speech and Audio Processing
2.97
article

Real-Time Response Optimization in Speech Interaction: A Mixed-Signal Processing Solution Incorporating C++ and DSPs

Xianghong Ma, Huangyin Chen, Jiawen Li, Y.F. Mao
article en
2 citations

Abstract

Aiming at the high real-time requirements of mobile devices, smart home and medical terminals, this paper proposes a mixed-signal processing scheme with C++ and DSP synergy, and designs an end-to-end framework to reduce the delay from feature extraction to instruction parsing. Experimental results show that the response time under typical instructions is reduced by about 34 % compared with existing schemes. The scheme follows the secure coding specification and adopts a modular sandboxing mechanism to prevent signal injection attacks, providing a reference paradigm for high real-time and high-security scenarios such as in-vehicle voice and remote control.

Johns Hopkins University (US)
Openalex Percentile: Top 8%
Speech and Audio Processing
2.97
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