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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    Titel :

    Systems Engineering Approach for Voice Recognition in the Car


    Weitere Titelangaben:

    Sae International Journal of Passenger Cars- Electronic and Electrical Systems
    Sae Int. J. Passeng. Cars – Electron. Electr. Syst


    Beteiligte:
    Ji, An (Autor:in) / Richardson, Brigitte (Autor:in) / Huber, John (Autor:in) / Wheeler, Joshua (Autor:in) / Rangarajan, Ranjani (Autor:in) / Amman, Scott (Autor:in)

    Kongress:

    WCX™ 17: SAE World Congress Experience ; 2017



    Erscheinungsdatum :

    2017-03-28


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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