The continued development of the Apple® iOS Voice Memos Application has seen the addition of an increased number of features, allowing users to edit a recording without having to export and process said recording in other software. This subsequently reduces the traces left by a manipulation, so research into the detection of edits performed within the application is therefore vital. Previous research into this area has shown differences in bit-rate between original and edited recordings within the application, and this research builds on that foundation by analyzing the artifacts left through extrapolation. Findings show that a sequence of processes, encompassing three stages of analysis, can be applied to detect local edit points pertaining to delete, replace and long pause events. The first stage is a global analysis used to sequester recordings which contain one of the aforementioned events, before two local analyses, based on different approaches, are applied to provide the location of edit points.
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