SYSTEMS AND METHODS FOR NORMALIZING INPUT MEDIA

摘要

A method and system for processing input media for provision to a text to speech engine comprising: a rules engine configured to maintain and update rules for processing the input media; a pre-parsing filter module configured to determine one or more metadata attributes using pre-parsing rules; a parsing filter module configured to identify content component from the input media using the parsing rules; a context and language detector configured to determine a default context and a default language; a learning agent configured to divide the content component into units of interest; a tagging module configured to iteratively assign tags to the units of interest using the tagging rules, wherein each tag is associated with a post-parsing rule; a post-parsing filter module configured to modify the content component by executing the post-parsing rules identified by the tags assigned to the phrases and strings. The context and language detector, tagging module, learning agent and post-parsing filter module are configured to iteratively process the content component and modifications thereto until there are no further modifications or a threshold number of iterations are performed.