We introduce a new computational model, the "event-plausibility" model, as an extension of the loudness-jump model, which has been proposed with the aim of extracting temporal structures in speech based on simulated auditory processing. The main characteristic of the new model is to overcome a drawback of the loudness jump model, i.e., insensitivity to potential boundaries where the jump in loudness estimates is not sufficiently large. In the new model, the increases in auditory activation level in each tonotopic sub-band are computed using the Auditory Image Model, and they are used as an index for a potential new event. We compare the performance of the proposed model to that of the loudness-jump model by estimating speaking rates in a Japanese speech database. The results of the event-plausibility model demonstrate its advantage over the loudness-jump model.
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