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KMID : 1022420130050020093
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Phonetics and Speech Sciences
2013 Volume.5 No. 2 p.93 ~ p.97
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Acoustic Driving Simulator Design for Evaluating an In-car Speech Recognizer
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Lee Seong-Jae
Kang Sun-Mee
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Abstract
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This paper is on designing an indoor driving simulator to evaluate the performance of in-car speech recognizer when influenced by the elements, which lower the success rate of speech recognition. The proposed simulator simulates vehicle noise which was pre-recorded in diverse driving environments and driver’s speech. Additionally, the proposed Lombard effect conversion module in this simulator enables the speech recorded in a studio environment to convert into various possible driving scenarios. The relevant experimental results have confirmed that the proposed simulator is a feasible approach for realizing an effective method as it achieved similar speech recognition results to the real driving environment.
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KEYWORD
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Lombard effect, Acoustic driving simulator, Speech recognition, Performance evaluation
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