Multimedia Archives: New Digital Filters to Correct Equalization Errors on Digitized Audio Tapes

Author:

Pretto Niccolò1ORCID,Micheloni Edoardo1,Chmiel Anthony2ORCID,Pozza Nadir Dalla1,Marinello Dario1,Schubert Emery3,Canazza Sergio2

Affiliation:

1. Department of Information Engineering, University of Padova, Padova, Italy

2. The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, Australia

3. Empirical Musicology Laboratory, University of New South Wales, Sydney, Australia

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.

Funder

Australian Research Council

Publisher

Hindawi Limited

Subject

General Computer Science

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1. Editorial: Preservation and exploitation of audio recordings: from archives to industries;Frontiers in Signal Processing;2024-07-12

2. Reactivation/virtualization of the CSC system at the University of Padua;2023 8th IEEE History of Electrotechnology Conference (HISTELCON);2023-09-07

3. Simulation of Video Image Fault Tolerant Coding Transmission in Digital Multimedia;Mathematical Problems in Engineering;2022-09-13

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5. FONTI 4.0: Evaluating Speech-to-Text Automatic Transcription of Digitized Historical Oral Sources;Proceedings of the Eighth Italian Conference on Computational Linguistics CliC-it 2021;2022

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