多模态交互下智能网联汽车英语语音识别的适配研究

中图分类号：U463.62 文献标识码：A 文章编号：1003-8639（2026）03-0067-03

Adaptation Research on English Voice Recognition for Intelligent Connected Vehiclesunder Modal Interaction

Zhang Yawen （Shangqiu Institute of Technology， Shangqiu 476ooo， China）

【Abstract】This paper takes the theories of human-machine pragmaticsand cross-modal integration as the core framework，followstheoptimizationlogicofthe "perception-inference-decision"fullchainofintellgentagents，ndstarts from three dimensions： multi-modal perception fusion，cross-modal response collaboration，and personalized experience adaptation，toconstructa"thre-dimensional nine-item"pragmaticadaptationsystem.Throughthecombinationof theory and scenario-basedcases，itsystematicallyanalyzes the implementation logicandapplication effectsofeachadaptation path，providingafasiblesolutionforautomakerstoreate"acontextualyprecise，naturalinteraction，andmeetingthe neds of cross-culturalmulti-senariorequirements"Englishvoiceinteractionsystem，helping intelligentconnectedvehiclesbreak throughthe botteneck of single-modal interaction and improve user trust and usage experience in global scenarios.

【Key words】multi-modal interaction；intelligent connected vehicles；English voice recognition;humanmachine pragmatics

0 引言

智能网联汽车的交互形态正从单一语音指令向“语音 + 视觉 + 手势”的多模态融合演进，英语作为全球通用语言，其语音识别系统在多模态场景中既是交互核心，也是跨模态信息整合的枢纽。（剩余4414字）