Abstract: A method of providing speech recognition resolution in a database includes receiving an utterance from an end-user or application, and dispatching it to the database which is coupled to or has access to a speech recognition technology. The method further includes converting the utterance to an intermediate form suitable for searching, and transmitting the intermediate form from the database to the speech recognition technology. An item-matching is then performed via the speech recognition technology which returns items matching the utterance to the database along with a confidence metric, and the utterance matches are then provided from the database in the form of an ordered result set.

Abstract: One embodiment of the present invention provides a system that facilitates recognizing voice input. During operation, the system receives a document that includes a specification of a datatype for which there exists a predefined grammar. The system also obtains a locale attribute for the datatype, wherein the locale attribute identifies a version of a language that is spoken in a locale. Next, the system uses the locale attribute to lookup a locale-specific grammar for the datatype, and then communicates the locale-specific grammar to a speech recognition engine, thereby allowing the speech recognition engine to use the locale-specific grammar to recognize voice input for the datatype.

Abstract: One embodiment of the present invention provides a system that generates voice output for an application. During operation, the system receives a symbolic representation of data to be outputted from the application, wherein the symbolic representation is locale-independent. The system also obtains a locale attribute that identifies a version of a language that is spoken in the locale. Next, the system expands the symbolic representation into a fully articulated locale-specific textual representation of the data, and then associates the textual representation with one or more audio files containing locale-specific voice output corresponding to the textual representation.

Abstract: One embodiment of the present invention provides a system that expands a symbolic representation of a data item into a locale-specific textual representation of the data item. The system operates by first receiving a locale-independent symbolic representation of the data item. Next, the system obtains a locale attribute that identifies a version of a language that is spoken in a locale, and then expands this symbolic representation of the data item into the locale-specific textual representation of the data item.

Abstract: A method of providing speech recognition resolution in a database includes receiving an utterance from an end-user or application, and dispatching it to the database which is coupled to or has access to a speech recognition technology. The method further includes converting the utterance to an intermediate form suitable for searching, and transmitting the intermediate form from the database to the speech recognition technology. An item-matching is then performed via the speech recognition technology which returns items matching the utterance to the database along with a confidence metric, and the utterance matches are then provided from the database in the form of an ordered result set.

Abstract: A method of providing speech recognition resolution on an application server in a communication network includes receiving an utterance from an end-user, for example, at a Voice Gateway in response to a prompt by an application prompt, capturing the utterance, and dispatching it via the application server to a speech recognition provider. The method further includes performing item-matching via a search algorithm, returning items matching the utterance to the application server, and returning relevant utterance matches to the application, for example, on the Voice Gateway, for communication to the user.

Abstract: One embodiment of the present invention provides a system that generates voice output for an application. During operation, the system receives a symbolic representation of data to be outputted from the application, wherein the symbolic representation is locale-independent. The system also obtains a locale attribute that identifies a version of a language that is spoken in the locale. Next, the system expands the symbolic representation into a fully articulated locale-specific textual representation of the data, and then associates the textual representation with one or more audio files containing locale-specific voice output corresponding to the textual representation.

Abstract: One embodiment of the present invention provides a system that expands a symbolic representation of a data item into a locale-specific textual representation of the data item. The system operates by first receiving a locale-independent symbolic representation of the data item. Next, the system obtains a locale attribute that identifies a version of a language that is spoken in a locale, and then expands this symbolic representation of the data item into the locale-specific textual representation of the data item.

Abstract: One embodiment of the present invention provides a system that facilitates recognizing voice input. During operation, the system receives a document that includes a specification of a datatype for which there exists a predefined grammar. The system also obtains a locale attribute for the datatype, wherein the locale attribute identifies a version of a language that is spoken in a locale. Next, the system uses the locale attribute to lookup a locale-specific grammar for the datatype, and then communicates the locale-specific grammar to a speech recognition engine, thereby allowing the speech recognition engine to use the locale-specific grammar to recognize voice input for the datatype.