Digital Equalization of Audio Signals

Berkovitz R. Digital Equalization of Audio Signals. In: AES Conference: 1st International Conference: Digital Audio. Audio Engineering Society; 1982. Paper Rye-023. Available from: https://aes.org/publications/elibrary-page/?id=3399

@inproceedings{Berkovitz1982_3399,
  author = {Berkovitz, Robert},
  title = {{Digital Equalization of Audio Signals}},
  booktitle = {AES Conference: 1st International Conference: Digital Audio},
  note = {Paper Rye-023},
  year = {1982},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=3399}
}

TY  - CPAPER
TI  - Digital Equalization of Audio Signals
AU  - Berkovitz, Robert
T2  - AES Conference: 1st International Conference: Digital Audio
M1  - Paper Rye-023
PY  - 1982
DA  - 1982/06/06
UR  - https://aes.org/publications/elibrary-page/?id=3399
PB  - Audio Engineering Society
LA  - en
AB  - This paper examines the use of digital filtering as a method of correcting of performance of audio systems, especially in applications where the desired correction cannot be known in advance, such as room equalization and the restoration of historic recordings. First, the goals of correction are examined in light of differing listener expectations and recording methods. The requirements for objective accuracy in sound reproduction are analyzed, and presently available technology evaluated. Net, analog and digital equalization methods are compared. Analog equalization is shown to be inherently problematic; the frequent need for high-frequency attenuation in sound reinforcement is explained as an aspect of the performance of analog band-pass equalizers. Digital filtering is briefly reviewed; time-domain specification of such filters allows equalization to be applied separately to early and later segments of an elctroacoustic system's impulse response, that is, its direct and reverberant fields. Finally, two digital signal processing methods applicable to equalization are reviewed, the fast Fourier transform method, already extensively applied, and a new system employing adaptive linear prediction and real-time convolution.
ER  -