Detecting Stop Consonants in Continuous Speech

We consider the problem of implementing a detector for stop consonants in continuously spoken speech. We pose the problem as one of finding an optimal filter (linear or nonlinear) that operates on a particular appropriately chosen representation, and ideally outputs a 1 when a stop occurs and 0 otherwise. We discuss the performance of several variants of a canonical stop detector and consider its implications for human and machine speech recognition.