Aiming at robust spoken dialogue interaction in motorcycle environment, we investigate various configurations for a speech front-end, which consists of speech pre-processing, speech enhancement and speech recognition components. These components are implemented as agents in the Olympus/RavenClaw framework, which is the core of a multimodal dialogue interaction interface of a wearable solution for information support of the motorcycle police force on the move. In the present effort, aiming at optimizing the speech recognition performance, different experimental setups are considered for the speech front-end. The practical value of various speech enhancement techniques is assessed and, after analysis of their performances, a collaborative scheme is proposed. In this collaborative scheme independent speech enhancement channels operate in parallel on a common input and their outputs are fed to the multithread speech recognition component. The outcome of the speech recognition process is p...