Automatic Detection of Hum in Audio Signals

Brandt M, Bitzer J. Automatic Detection of Hum in Audio Signals. J Audio Eng Soc. 2014;62(9):584-595. doi:10.17743/jaes.2014.0034

@article{Brandt2014_17388,
  author = {Brandt, Matthias and Bitzer, Joerg},
  title = {{Automatic Detection of Hum in Audio Signals}},
  journal = {Journal of the Audio Engineering Society},
  volume = {62},
  number = {9},
  pages = {584--595},
  year = {2014},
  month = sep,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2014.0034},
  url = {https://doi.org/10.17743/jaes.2014.0034}
}

TY  - JOUR
TI  - Automatic Detection of Hum in Audio Signals
AU  - Brandt, Matthias
AU  - Bitzer, Joerg
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 62
IS  - 9
SP  - 584
EP  - 595
PY  - 2014
DA  - 2014/09/06
DO  - 10.17743/jaes.2014.0034
UR  - https://doi.org/10.17743/jaes.2014.0034
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -