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Wednesday October 9, 2024 12:20pm - 12:50pm EDT
The Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Context-based Audio Enhancement (CAE) Audio Recording Preservation (ARP) standard provides the technical specifications for a comprehensive framework for digitizing and preserving analog audio, specifically focusing on documents recorded on open-reel tapes. This paper introduces a novel, envelope derivative-based method incorporated within the ARP standard to detect reverse audio sections during the digitization process. The primary objective of this method is to automatically identify segments of audio recorded in reverse. Leveraging advanced derivative-based signal processing algorithms, the system enhances its capability to detect and reverse such sections, thereby reducing errors during analog-to-digital (A/D) conversion. This feature not only aids in identifying and correcting digitization errors but also improves the efficiency of large-scale audio document digitization projects. The system's performance has been evaluated using a diverse dataset encompassing various musical genres and digitized tapes, demonstrating its effectiveness across different types of audio content.
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avatar for Marina Bosi

Marina Bosi

Stanford University
Marina Bosi,  AES Past President, is a founding Director of the Moving Picture, Audio, and Data Coding by Artificial Intelligence (MPAI) and the Chair of the Context-based Audio Enhancement (MPAI-CAE) Development Group and IEEE SA CAE WG.  Dr. Bosi has served the Society as President... Read More →
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Wednesday October 9, 2024 12:20pm - 12:50pm EDT
1E03

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