智能网联汽车英语语音识别系统的语用优化路径

孟彦争

汽车电器 ›› 2026, Vol. 1 ›› Issue (1) : 57-59.

汽车电器 ›› 2026, Vol. 1 ›› Issue (1) : 57-59.
智能网联

智能网联汽车英语语音识别系统的语用优化路径

  • 孟彦争
作者信息 +

Pragmatic Optimization Path for English Speech Recognition System of Intelligent Connected Vehicles

  • Meng Yanzheng
Author information +
文章历史 +

摘要

本文以人机语用学为理论核心,融入几何画板“抽象知识具象化”的优化思路,构建“语境感知-交互逻辑-体验个性化”三维九项语用优化路径。结合车企实践案例,深入解析动态语境建模、场景化语料库构建等核心机制的实践逻辑与应用成效,为车企打造自然流畅、适配跨文化需求的英语语音交互系统提供支撑,助力智能网联汽车破解全球化布局中的交互难题,进一步提升跨地域用户的信任度与使用体验。

Abstract

This paper takes human-computer pragmatics as the theoretical core and integrates the optimization idea of "concretization of abstract knowledge" in Geometer's Sketchpad to construct a three-dimensional nine-point pragmatic optimization path of "context perception-interaction logic-personalized experience". Based on practical cases from automotive enterprises, this paper deeply analyzes the practical logic and application effects of core mechanisms such as dynamic context modeling and scenario-based corpus construction, providing support for automotive enterprises to
create natural and smooth English voice interaction systems that adapt to cross-cultural communication needs. This helps intelligent connected vehicles solve interaction problems in their global layout and further enhances the trust and usage experience of cross-regional users.

关键词

智能网联汽车 / 英语语音识别 / 人机语用学 / 交互优化

Key words

intelligent connected vehicles / english speech recognition / human-machine pragmatics / interaction optimization

引用本文

导出引用
孟彦争. 智能网联汽车英语语音识别系统的语用优化路径[J]. 汽车电器. 2026, 1(1): 57-59
Meng Yanzheng. Pragmatic Optimization Path for English Speech Recognition System of Intelligent Connected Vehicles[J]. AUTO ELECTRIC PARTS. 2026, 1(1): 57-59
中图分类号: U463.6   

参考文献

[1] 陶崇瑾 . 智能网联汽车人机交互界面优化策略研究 [J]. 汽车测试报告,2025(2):151-153.
[2] 李海荣 . 汽车人机交互界面的适老化设计研究 [J]. 汽车知识,2024,24(8):93-95.
[3] 毕福 . 基于 OTA 的智能网联汽车人机交互场景测评技术[J]. 汽车与新动力,2024,7(S1):53-55.
[4] 刘立立 . 智能网联汽车仪表的人机交互界面设计 [J]. 自动化应用,2024,65(9):161-163.
[5] 刘雪,石天聪,余政涛 . 智能网联汽车人机交互界面分析 [J]. 汽车实用技术,2021,46(10):34-36.

基金

2025 年度河南省社会科学界联合会调研课题项目“AI 时代语言变迁与网络语言生态中的大学生文化认同研究”(SKL-2025-1481)。

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