Hum (power line interference in the form of stationary sine waves and their harmonics) is often introduced into an audio signal during the recording or copying process. These disturbances can distract the listener, affect dynamics processing devices or even overload loudspeakers. The first stage in a removal process requires an accurate detection of the existence of hum and its parameters. This investigation presents an automatic method for detecting hum components with a low false alarm rate. The foundation of the detection algorithm is a statistical analysis of the short-term Fourier transform of the input signal. The algorithm was tested with both artificial signals and real recordings.
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