Go To Program 135 Detection of Hum in Audio Signals Matthias Brandt 1 Joerg Bitzer 1 1 Institute for Hearing Technology and Audiology, Jade University of Applied Sciences, Oldenburg, Germany This article presents a method to automatically determine whether an audio signal contains one or more additive disturbing tones (hum) or not. If hum is detected, frequencies of the additive tones are identified precisely. The developed algorithm, which is based on an analysis of statistical properties of the short-term Fourier transform of the input signal, does not require a priori information about the type of wanted signal (e.g. speech or music), about the intensities (i.e. powers) or frequencies of the tones that are to detect. First, the outlines of hum disturbance problems in audio signals are presented, followed by a description of the detection algorithm. The article concludes with an evaluation that documents the developed method’s good detection performance. View pdf