Multimedia archives : new digital filters to correct equalization errors on digitized audio tapes

Niccolò Pretto, Edoardo Micheloni, Anthony Chmiel, Nadir Dalla Pozza, Dario Marinello, Emery Schubert, Sergio Canazza

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Multimedia archives face the problem of obsolescing and degrading analogue media (e.g., speech and music recordings and video art). In response, researchers in the field have recently begun studying ad hoc tools for the preservation and access of historical analogue documents. This paper investigates the active preservation process of audio tape recordings, specifically focusing on possible means for compensating equalization errors introduced in the digitization process. If the accuracy of corrective equalization filters is validated, an archivist or musicologist would be able to experience the audio as a historically authentic document such that their listening experience would not require the recovery of the original analogue audio document or the redigitization of the audio. Thus, we conducted a MUSHRA-inspired perception test (n = 14) containing 6 excerpts of electronic music (3 stimuli recorded NAB and 3 recorded CCIR). Participants listened to 6 different equalization filters for each stimulus and rated them in terms of similarity. Filters included a correctly digitized "Reference," an intentionally incorrect "Foil" filter, and a subsequent digital correction of the Foil filter that was produced with a MATLAB script. When stimuli were collapsed according to their filter type (NAB or CCIR), no significant differences were observed between the Reference and MATLAB correction filters. As such, the digital correction appears to be a promising method for compensation of equalization errors although future study is recommended, specifically containing an increased sample size and additional correction filters for comparison.
Original languageEnglish
Article number5410218
Number of pages11
JournalAdvances in Multimedia
Volume2021
DOIs
Publication statusPublished - 2021

Open Access - Access Right Statement

© 2021 Niccolo Pretto et al. +is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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