Abstract: A system, method and computer program product for automated voice recognition using the barge-in time of a user's utterance is provided. A list of items is audibly provided to a user. The user selects one item from the list by providing an utterance representing the user's selection. The utterance time (i.e., the barge-in time) is calculated from the utterance of the user. Then, the utterance is compared to each item in the list so as to generate a confidence score for each item in the list, with the confidence score being based on the similarity between the item and the utterance. The confidence scores are also based on the barge-in time. One of the items from the list is selected based on the confidence scores of the items.

Abstract: A system, method and computer program product is provided for the automated voice recognition of an email address of a user. According to the method, speech representing the email address of the user is received, personal information of the user is accessed. The personal information of the user is used in determining the email address of the user from the speech of the user. In one preferred embodiment, the email address of the user is determined by generating a plurality of candidate email addresses based on the personal information of the user, comparing the speech of the user with each of the candidate email addresses, and selecting a best matching one of the candidate email addresses as the email address of the user.

Abstract: Methods are provided for generating phrase chunking rules for titles of records in a database. According to one method, the title of each record in a first set of records is part-of-speech tagged, and a plurality of phrase chunking rules are created based on patterns of part-of-speech tags in the tagged titles. The phrase chunking rules are applied to the titles of records in a second set of records so as to generate indexes for the records in the second set of records. In a preferred embodiment, the phrase chunking rules are modified if coverage of the second set of records by the phrase chunking rules does not reach a predetermined threshold. Also provided are methods for retrieving records from a database and systems for generating phrase chunking rules.

Abstract: A system, method and computer program product for automated voice recognition using the barge-in time of a user's utterance is provided. A list of items is audibly provided to a user. The user selects one item from the list by providing an utterance representing the user's selection. The utterance time (i.e., the barge-in time) is calculated from the utterance of the user. Then, the utterance is compared to each item in the list so as to generate a confidence score for each item in the list, with the confidence score being based on the similarity between the item and the utterance. The confidence scores are also based on the barge-in time. One of the items from the list is selected based on the confidence scores of the items.