International Business Machines Corporation

Arthur Keller

Kerry Alan Ortega

James Robert Lewis

Ronald E Vanbuskirk

Barbara E Ballard

Huifang Wang

Gary Robert Hanson

Hans Egger

Linda M Boyer

Ronald E VanBuskirk

Thomas A Kist

Antonio Rogelio Lee

Brian S Brooks

Thomas Netousek

Carmi Gazit

Waltraud Brunner

A method of proofreading and correcting dictated text contained in an electronic document can include selecting proofreading criteria for identifying textual errors contained in the electronic document; playing back each word contained in the electronic document; and, marking as a textual error each played back word in nonconformity with at least one of the proofreading criteria.

Method and system for proofreading and correcting dictated text

A transcription system ( ) includes a computer ( ), a monitor ( ), and a microphone ( ). Via the microphone, a user of the system provides input speech that is received and transcribed ( ) by the system. The system monitors ( ) the accuracy of the transcribed speech during transcription. The system also determines ( ) whether the accuracy of the transcribed speech is sufficient and, if not, automatically activates ( ) a speech recognition improvement tool and alerts ( ) the user that the tool has been activated.

Method and apparatus for improving speech recognition accuracy

A method of proofreading and correcting dictated text contained in an electronic document comprises the steps of: selecting proofreading criteria for identifying textual errors contained in the electronic document; playing back each word contained in the electronic document; and, marking as a textual error each played back word in nonconformity with at least one of the proofreading criteria. The method can further comprise the step of editing each the marked textual error identified in the marking step. In particular, the editing step can include reviewing each the marked textual error identified in the marking step; accepting user specified changes to each marked textual error reviewed in the reviewing step; and, unmarking each marked textual error corrected by the user in the accepting step. Also, the reviewing step can include highlighting each the word in the electronic document corresponding to the marked textual error marked in the marking step; and, displaying an explanation for each marked textual error in a user interface. Moreover, the reviewing step can further include suggesting a recommended change to the marked textual error; displaying the recommended change in the user interface; and, accepting a user specified preference to substitute the recommended change for the marked textual error.

A method and system for use with a computer recognition system to enroll a user. The method involves a series of steps. The invention provides a user with an enrollment script. The invention then receives a recording made with a transcription device of a dictation session in which the user has dictated at least a portion of the enrollment script. Additionally, the invention can enroll the user in the speech recognition system by decoding the recording and training the speech recognition system.

Off site voice enrollment on a transcription device for speech recognition

A transcription system ( ) includes a computer ( ), a monitor ( ), and a microphone ( ). Via the microphone, a user of the system provides input speech that is received and transcribed ( ) by the system. The system monitors ( ) the accuracy of the transcribed speech during transcription. The system also determines ( ) whether the accuracy of the transcribed speech is sufficient and, if not, automatically activates ( ) a speech recognition improvement tool and alerts ( ) the user that the tool has been activated. This tool could also be manually activated ( ) by the user. The type of recognition problem is identified ( ) by the user or automatically by the system, and the system provides ( ) possible solution steps for enabling the user to adjust ( ) system parameters or modify user behavior in order to alleviate the recognition problem. The system also provides the user the ability to test ( ) the transcription process in order to determine whether the solution has improved the recognition accuracy.

A method for managing a What Can I Say (WCIS) function in an application having a plurality of commands which can be voice activated comprises the steps of: storing a set of substantially all voice activatable commands associated with the application; identifying those of the commands in the set which are displayable by the application; and, in response to a user input, displaying in a graphical user interface (GUI) a subset of the voice activatable commands which are not displayable by the application. Moreover, the method includes displaying in the GUI, in response to a user input, a list of the stored set of substantially all voice activatable commands associated with the application; displaying in the GUI a pull down menu identifying different categories by which the commands can be viewed in the list; and, displaying the GUI with a pull down menu identifying commands that can be performed against a voice command.

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Arthur Keller