2 research outputs found

    An MPAI/IEEE International Standard for Audio: Overview of CAE Audio Recording Preservation (ARP) Technology

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    The Audio Recording Preservation (ARP) technology represents a significant development in the field of audio preservation and is an essential component of the Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Context-based Audio Enhancement (CAE) standard. This standard has been adopted by the IEEE Standard Association as IEEE 3302-2022 and it specifies a range of AI-based technologies for various audio applications, including communication, entertainment, post-production, teleconferencing, and preservation. This article aims to highlight the specific contribution of CAE-ARP technology to audio preservation applications. The CAE-ARP technology has several innovative features that make it a valuable tool in the digitization and preservation of open-reel audio tapes. It leverages automated AI for extracting relevant information from digitized audio files and for creating preservation and access copies. By using the ARP standard, archives can effectively manage all the information stored onto tapes, along with related metadata, to automatically prepare the content for storage and/or immediate use. This technology represents a significant advancement in the field of audio preservation and provides an effective solution for managing small and large collections of open-reel audio tapes

    AI-based media coding and beyond

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    MPAI-Moving Picture, Audio and Data Coding by Artificial Intelligence is the first body developing data coding standards that have Artificial Intelligence (AI) as its core technology. MPAI believes that universally accessible standards for AI-based data coding can have the same positive effects on AI as standards had on digital media. Elementary components of MPAI standards-AI Modules (AIM)-expose standard interfaces for operation in a standard AI Framework (AIF). As their performance may depend on the technologies used, MPAI expects that competing developers providing AIMs will promote horizontal markets of AI solutions that build on and further promote AI innovation. Finally, the MPAI Framework Licences provide guidelines to IPR holders facilitating the availability of compatible licences to standard users
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