Non-hidden Markov Model (epo) Patents (Class 704/E15.037)
  • Publication number: 20120041763
    Abstract: A system and a method are provided. A speech recognition processor receives unconstrained input speech and outputs a string of words. The speech recognition processor is based on a numeric language that represents a subset of a vocabulary. The subset includes a set of words identified as being for interpreting and understanding number strings. A numeric understanding processor contains classes of rules for converting the string of words into a sequence of digits. The speech recognition processor utilizes an acoustic model database. A validation database stores a set of valid sequences of digits. A string validation processor outputs validity information based on a comparison of a sequence of digits output by the numeric understanding processor with valid sequences of digits in the validation database.
    Type: Application
    Filed: October 25, 2011
    Publication date: February 16, 2012
    Applicant: AT&T Intellectual Property II, L.P.
    Inventors: Mazin G. Rahim, Giuseppe Riccardi, Jeremy Huntley Wright, Bruce Melvin Buntschuh, Allen Louis Gorin