Abstract: A method for voice pattern coding and catalog matching. The method includes identifying a set of vocal variables for a user, by a voice recognition system, based, at least in part, on a user interaction with the voice recognition system. The method further includes generating a voice model of speech patterns that represent the speaking of a particular language using the identified set of vocal variables, wherein the voice model is adapted to improve recognition of the user's voice by the voice recognition system. The method further includes matching the generated voice model to a catalog of speech patterns, and identifying a voice model code that represents speech patterns in the catalog that match the generated voice model. The method further includes providing the identified voice model code to the user.

Abstract: A computer implemented method and system for customizing speech recognition for users with accents. A spoken language of a user is identified. An indicator of a speech accent language can be initiated by the user using a computer. The indicator identifies the speech accent language and defines an influence of the speech accent language on the spoken language. Speech recognition characteristics are set according to the spoken language and the indicator. An automatic speech recognition (ASR) conversion is adjusted based on the speech recognition characteristics.

Abstract: A computer implemented method and system for customizing speech recognition for users with accents. A spoken language of a user is identified. An indicator of a speech accent language can be initiated by the user using a computer. The indicator identifies the speech accent language and defines an influence of the speech accent language on the spoken language. Speech recognition characteristics are set according to the spoken language and the indicator. An automatic speech recognition (ASR) conversion is adjusted based on the speech recognition characteristics.