Speaker-dependent name dialing in a car environment with out-of-vocabulary rejection

In this paper we describe a system for name dialing in the car and present results under three driving conditions using real-life data. The names are enrolled in the parked car condition (engine off) and we describe two approaches for endpointing them—energy-based and recognition-based schemes—which result in word-based and phone-based models, respectively. We outline a simple algorithm to reject out-of-vocabulary names. PMC is used for noise compensation. When tested on an internally collected twenty-speaker database, for a list size of 50 and a hand-held microphone, the performance averaged over all driving conditions and speakers was 98%/92% (IV accuracy/OOV rejection); for the hands-free data, it was 98%/80%.