AUDIOBOOST INVENTS AI ALGORITHMS FOR THE ‘GENERATIVE CONTENT DESCRIPTION’ TO MAKE NON-ARTICLE CONTENT AUDIBLE

Non-article content like blocks, tables, lists, numbers are now described not simply read thanks to a narrative interpretation of the text on the page.
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Reading online content with text-to-speech is becoming an increasingly common practice, but what about content that is not articles and has a more complex structure: blocks, tables, lists, product sheets? A literal reading of this content is not pleasant; even the human mind tends to select more relevant parts of the content in these cases, ignoring the rest or reconstructing a synthetic map of the most salient information in their mind.

Audioboost has trained its AI to do exactly this: through generative content description, the AI does not read the exact words of the text but reworks or synthesizes them based on a specific semantic map, ensuring that the reading remains fluid and sentient, even amidst the complexity of the information

The AI Voice trained to do this creates a unique reading strategy that makes the Speakup-Article™ much more efficient: it corrects typos, syntax, processes synonyms, integrates, and reads supplementary data and information not directly present in the text but useful for a proper understanding of the overall meaning. This makes it perfectly suited for reading parts of text or websites that are typically not read by standard text-to-speech systems.