Mechanical imperfections in every recorder cause speed variations (flutter) which have a frequency spectrum that is characteristic of both the model of recorder and of the individual recorder. The speed variation of the recorder cause fm sidebands around any signal recorded on that recorder. When the signal to be recorded contains a periodic signal, for instance power line hum, the sidebands on the recording can be measured, and converted into a flutter spectrum. By comparing the flutter spectrum found on the recording to that measured on the recorders, one may be able to identify the recorder which produced the recording. The theory is developed and a practical example is given.
Authors:
McKnight, John G.; Weiss, Mark R.
Affiliations:
Magnetic Reference Laboratory, Mountain View, CA ; Department of Computer Science, Queens College, Flushing, NY(See document for exact affiliation information.)
JAES Volume 24 Issue 9 pp. 728-734; November 1976
Publication Date:
November 1, 1976
Click to purchase paper as a non-member or you can login as an AES member to see more options.
No AES members have commented on this paper yet.
To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.