收藏切换
An Intelligent Testing System for Cockpit Voice Interaction Driven by Multimodal Large Models
收藏切换
Jiaming Zhang, Yan Gao, Deyin Zhao, Mengmeng Xu, Cheng Qin, Sixu Li, Dongbo Zhang
Automotive Digest | 2026, (10) : 9 - 15
Less
收藏切换
Automotive Digest | 2026, (10): 9-15
An Intelligent Testing System for Cockpit Voice Interaction Driven by Multimodal Large Models
Full
Jiaming Zhang, Yan Gao, Deyin Zhao, Mengmeng Xu, Cheng Qin, Sixu Li, Dongbo Zhang
Affiliations
  • Global R&D Center, China FAW Corporation Limited, Changchun 130013
Published: 2026-10-05 doi: 10.19822/j.cnki.1671-6329.20260168
Outline
收藏切换

To address the limitation that conventional voice testing methods fail to effectively evaluate the response capability of intelligent cockpit voice interaction systems, this paper presents an intelligent voice testing system driven by a Large Language Model (LLM). The system first employs the LLMs to perform semantic generalization on base voice commands and, in combination with a multimodal large model, synthesizes test audio that covers multiple timbres and speaking rates, thereby overcoming the constraints inherent in conventional fixed-form test case design. A parameterized mapping model between test cases and execution programs is then constructed, which decouples the test logic from the execution environment and substantially reduces the dependence of execution-program development on hardware resources. In the result verification stage, data from three independent dimensions (including audio feedback recognition, visual parsing of the head-unit display, and controller log analysis) are fused through a weighted decision-fusion model, thereby enhancing the objectivity and reliability of the verdicts. Tests are conducted on the cockpit voice-based music control function for validation, and the results demonstrate that the proposed system performs excellently in terms of test pass rate, decision accuracy, semantic consistency, and generalization diversity, confirming the effectiveness of this method in improving test coverage, efficiency, and confidence.

Intelligent cockpit  /  Voice interaction  /  Testing technology  /  Artificial intelligence
张家铭, 高艳, 赵德银, 徐蒙蒙, 秦诚, 李思蓄, 张东波. 多模态大模型驱动的座舱语音智能化测试系统. 汽车文摘, 2026 , (10) : 9 -15 . DOI: 10.19822/j.cnki.1671-6329.20260168
Jiaming Zhang, Yan Gao, Deyin Zhao, Mengmeng Xu, Cheng Qin, Sixu Li, Dongbo Zhang. An Intelligent Testing System for Cockpit Voice Interaction Driven by Multimodal Large Models[J]. Automotive Digest, 2026 , (10) : 9 -15 . DOI: 10.19822/j.cnki.1671-6329.20260168
Year 2026 volume Issue 10
163
23
Cite this Article
BibTeX
Article Info
doi: 10.19822/j.cnki.1671-6329.20260168
  • Online Date:2026-10-15
  • Published:2026-10-05
Article Data
Affiliations
History
Affiliations
    Global R&D Center, China FAW Corporation Limited, Changchun 130013
References
Share
https://castjournals.cast.org.cn/joweb/qcwz/EN/10.19822/j.cnki.1671-6329.20260168
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT