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The WIPO Speech-to-Text software, which was designed for conferences involving foreign English speakers with a wide variety of accents, was used to process a sample of historic recordings of High-Energy Physics seminars.ĭespite the originality and complexity of the vocabulary, very encouraging results have been achieved, providing a strong incentive to set up a generalized transcription service open to the entire CERN audio-visual community, to process both the old data and the on-going events and content. Accurately convert speech into text with an API powered by the best of Googles AI research and technology.

Combined with initiatives from CERN's Translation Service and Diversity Office - also keen to provide greater accessibility to historical content – CERN chose to collaborate with WIPO during the summer of 2019 to carry out an audiovisual transcription pilot project. Faced with a lack of accurate text descriptions for much of the content, the project turned to audio-to-text transcription technologies that could provide full-text indexes to the entire collection. CERN's Digital Memory project has digitized its massive back catalogue of audiovisual material.

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