The need of D, DD, DDD, DDDD.... measures is a clear sign of the loss in the representation capability of classical frame-based analysis techniques. Mainly coarticulation effects in fluent speech are hidden and obscured by the classical short-time analysis technique. In fact, almost every acceptable ASR system is forced to introduce this kind of post-processing technique, in order to obviate to that loss.
Following previous work on Auditory Modeling (AM) techniques for speech analysis front-end for automatic speech segmentation (ASS) and automatic speech recognition (ASR), evidences against frame-based analysis techniques, thus against the need of D, DD, will be given and exploited in this paper.
Various examples, mostly on plosives or other non-stationary consonants, will be illustrated, with the aim of underlying the superiority of "sampling after processing" relatively to "framing before processing" in speech analysis tasks.
