Abstract
The need to inspect concrete social infrastructures has put considerable attention on the automation of traditional methods such as the hammering test. In the past, supervised and unsupervised methods have been proposed for this task. However, they either require training data, and there heavy human involvement or additional sensors other than a microphone. In the present study, a novel approach to automation of the hammering test, using only a microphone and with only minimal human user involvement is proposed. The human user is asked for a couple of audio samples if they are similar or not and the audio feature space is shaped according to those answers. Experiment conducted using a concrete test block shows promising results obtained by the proposed method.
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