In this paper, we present a new rate of speech (ROS) detector that operates independently of the recognition process. This detector is evaluated on the TIMIT corpus and positioned with respect to other ROS detectors. The ROS estimate is subsequently used to compensate for the effects of unusual speech rates on continuous speech recognition. We report on results obtained with two ROS compensation techniques on a speaker independent acoustic phonetic decoding task.