An Integrated Solution For Digitization, Archiving, And Restoration Of Large Audio Collections

Kuhnle P, Hatje U, Kummer JC, Musialik CM. An Integrated Solution For Digitization, Archiving, And Restoration Of Large Audio Collections. In: AES Conference: 20th International Conference: Archiving, Restoration, and New Methods of Recording. Audio Engineering Society; 2001. Paper 1940. Available from: https://aes.org/publications/elibrary-page/?id=10049

@inproceedings{Kuhnle2001_10049,
  author = {Kuhnle, Peter and Hatje, Ulrich and Kummer, Jean-Christophe and Musialik, Christoph M.},
  title = {{An Integrated Solution For Digitization, Archiving, And Restoration Of Large Audio Collections}},
  booktitle = {AES Conference: 20th International Conference: Archiving, Restoration, and New Methods of Recording},
  note = {Paper 1940},
  year = {2001},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=10049}
}

TY  - CPAPER
TI  - An Integrated Solution For Digitization, Archiving, And Restoration Of Large Audio Collections
AU  - Kuhnle, Peter
AU  - Hatje, Ulrich
AU  - Kummer, Jean-Christophe
AU  - Musialik , Christoph M.
T2  - AES Conference: 20th International Conference: Archiving, Restoration, and New Methods of Recording
M1  - Paper 1940
PY  - 2001
DA  - 2001/10/06
UR  - https://aes.org/publications/elibrary-page/?id=10049
PB  - Audio Engineering Society
LA  - en
AB  - There is a growing demand to rescue large historic audio collections stored on different analogue media. The huge amount of historic recordings in audio libraries would take hundreds of years for high-quality transfer to new reliable digital media. Non-repairable defects can occur in the meantime, so this is obviously too long to wait. It is also too expensive, because very qualified experts are required to achieve professional results. This paper describes a system "already implemented as a prototype" that allows transferring and archiving large audio collections faster, easier and more cost effective. This system is also suitable for automatic embedding metadata coming from existing database systems, handling large wave files (over 2GB), and automatic restoration of digitized and archived audio files.
ER  -