Evaluation of a New Algorithm for Automatic Hum Detection in Audio Recordings

Brandt M, Schmidt T, Bitzer J. Evaluation of a New Algorithm for Automatic Hum Detection in Audio Recordings. In: AES Convention 130. Audio Engineering Society; 2011. Paper 8395. Available from: https://aes.org/publications/elibrary-page/?id=15862

@inproceedings{Brandt2011_15862,
  author = {Brandt, Matthias and Schmidt, Thorsten and Bitzer, Joerg},
  title = {{Evaluation of a New Algorithm for Automatic Hum Detection in Audio Recordings}},
  booktitle = {AES Convention 130},
  note = {Paper 8395},
  year = {2011},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15862}
}

TY  - CPAPER
TI  - Evaluation of a New Algorithm for Automatic Hum Detection in Audio Recordings
AU  - Brandt, Matthias
AU  - Schmidt, Thorsten
AU  - Bitzer, Joerg
T2  - AES Convention 130
M1  - Paper 8395
PY  - 2011
DA  - 2011/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15862
PB  - Audio Engineering Society
LA  - en
AB  - In this article, an evaluation of a recently published hum detection algorithm for audio signals is presented. To determine the performance of the method, large amounts of artificially generated and real-world audio data, containing a variety of music and speech recordings, are processed by the algorithm. By comparing the detection results with manually determined ground truth data, several error measures are computed: hit and false alarm rates, frequency deviation of the hum frequency estimation, offset of detected start and stop times and the accuracy of the SNR estimation.
ER  -