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MPAI springs forward to an intense 2022

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Established on 30 September 2020, MPAI spent the first 3 months giving itself a structure ensuring the execution of its mission "develop Artificial Intelligence (AI)-based data coding standards". Its first full year of operation – 2021 – has been engaging but rewarding: 5 Technical Specifications (TS)  have been approved and released in the following domains: Finance. Human-machine communication. Audio enhancement. AI Framework Ecosystem Governance. The Company Performance Assessment TS was complemented by 3 additional specifications: Reference Software (RS). a conforming…

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31 December 2021 – MPAI takes stock of the work done

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One year ago today, MPAI could take stock of 3 months of work: an established organisation with the mission of developing Artificial Intelligence (AI)-based data coding standards, a first identification of a program of work, progression of several work items and a published Call for Technologies for one of them. What can MPAI say today? That it has lived a very intense year and that it can declare itself satisfied of what it has achieved. The first is that it…

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Audio preservation saves memory

Another context of MPAI Audio Enhancement is preservation. Many audio archives urgently need to digitise their records, especially analogue magnetic tapes, because of their life expectancy is short if compared to paper records. International institutions (e.g., International Association of Sound and Audio-visuals Archives, IASA; World Digital Library, WDL; Europeana) have defined guidelines, sometimes only partly compatible, but appropriate international standards are lacking. The Audio Recording Preservation (ARP) use case of the MPAI-CAE standard (CAE-ARP) opens the way to effectively respond…

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The why of the MPAI mission

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In research, a technology that had attracted the interest of researchers decades ago and stayed at that level for a long time, may suddenly come into focus. This is the case of the collection of different technologies called Artificial Intelligence (AI). Although this moniker might suggest that machines are able to replicate the main human trait, in practice such techniques boil down to algorithmically sophisticated pattern matching enabled by training on large collections of input data.  Embedded today in a…

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MPAI concludes 2021 approving new Context-based Audio Enhancement standard

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Geneva, Switzerland – 22 December 2021. Today the Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) standards developing organisation has concluded the year 2022, its first full year of operation approving its fifth standard for publication. The standards developed and published by MPAI so far are: Context-based Audio Enhancement (MPAI-CAE) – approved today – supports 4 identified use cases: adding a desired emotion to an emotion-less speech segment, preserving old audio tapes, restoring audio segments and improving the audio…

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A book, a question and an answer

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MPAI has published a book titled Towards Pervasive and Trustworthy Artificial Intelligence: How standards can put a great technology at the service of humankind With the printing industry sparing no efforts publishing books on Artificial Intelligence (AI), why should there be another that, in its title and subtitle, combines the overused words “AI” and “trustworthy”, with the alien words “standards” and “pervasive”? The answer is that the book describes a solution that covers all the elements of the title: to…

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