Systems Engineering Approach for Voice Recognition in the Car
In this paper, a systems engineering approach is explored to evaluate the effect of design parameters that contribute to the performance of the embedded Automatic Speech Recognition (ASR) engine in a vehicle. This includes vehicle designs that influence the presence of environmental and HVAC noise, microphone placement strategy, seat position, and cabin material and geometry. Interactions can be analyzed between these factors and dominant influencers identified. Relationships can then be established between ASR engine performance and attribute performance metrics that quantify the link between the two. This helps aid proper target setting and hardware selection to meet the customer satisfaction goals for both teams.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/19464614
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Supplemental Notes:
- Abstract reprinted with permission of SAE International.
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Authors:
- Wheeler, Joshua
- Richardson, Brigitte
- Amman, Scott
- Ji, An
- Huber, John
- Rangarajan, Ranjani
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Conference:
- WCX™ 17: SAE World Congress Experience
- Location: Detroit Michigan, United States
- Date: 2017-4-4 to 2017-4-6
- Publication Date: 2017-3-28
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 181-185
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Serial:
- SAE International Journal of Passenger Cars - Electronic and Electrical Systems
- Volume: 10
- Issue Number: 1
- Publisher: SAE International
- ISSN: 1946-4614
- EISSN: 1946-4622
- Serial URL: https://www.sae.org/publications/collections/content/E-JOURNAL-07/
Subject/Index Terms
- TRT Terms: Driver information systems; Noise sources; Performance; Speech recognition; System design
- Subject Areas: Design; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01637918
- Record Type: Publication
- Source Agency: SAE International
- Report/Paper Numbers: 2017-01-1599
- Files: TRIS, SAE
- Created Date: Jun 13 2017 1:07PM