Microsoft Technology Licensing, LLC

Sunhawk Corporation, Inc.

Sunhawk.com Corporation

Marlin J Eller

Shishir P Pardikar

Eric Robert Berman

Luis Fernando Abdala

Christopher B Leyerle

Brent R Mills

A computerized tablature composer automatically updates a tablature notation following edits of a corresponding staff notation. The computerized tablature composer conversely links edits to a tablature notation with corresponding updates in a staff notation for a corresponding musical score. The computerized tablature composer ensures vertical alignment between corresponding notes in a staff notation and a tablature notation. The computerized tablature composer ensures that the actual played notes in both musical representations are aligned so that the musician knows which note in the staff notation corresponds to which note in the tablature notation. The computerized tablature composer further allows the coupling between tablature and conventional staff notation to be de-coupled upon request. The computerized tablature composer provides a musician with alternate fret locations for the notes in a musical work when the musician indicates an alternate string for a given note. The computerized tablature composer provides a virtual tuning peg that allows a musician to use non-standard tunings by changing the fret numbers in the tablature notation to reflect new tuning data for one or more strings represented by the tablature notation.

Method and system for improved tablature notation in digital music scores

The encryption secured computer system (10) includes a server (12) that communicates with clients (14-20) across a public network (21) using a novel transaction coded decryption key technology that discourages wrongful redistribution of protected information such as digital musical scores, and allows for tracking of infringing activity. In one implementation, the server (12) distributes access software and partially encrypted musical scores to clients upon request. A client can sample the partially encrypted scores prior to consummating a transaction. When a score is selected, the client enters payment information and is assigned a password that is specific to the client and transaction. The password functions as a decryption key to enable use of the musical score by the client employing the access software. Any subsequent wrongful redistribution of the musical score together with the decryption password can be traced due to client identifying information encoded into the password.

Encryption system with transaction coded decryption key

Digital musical information for a musical score is stored in records that are established based on types of musical information or notation and are therefore independent of the musical sequence of the score. In this manner, the information for a single musical element such as a note, clef, or accent can be spread over more than one record, or information for more than one element can be included in a single record. This storage format accommodates subsequent revisions or additions to the score or accessing code, facilitates data compression for enhanced transmission rates, facilitates progressive (e.g., page-by-page) transmission and provides enhanced flexibility for implementing encryption techniques.

Method and apparatus for nonsequential storage of and access to digital

A method and system for searching a compressed document while a plurality of character strings stored in the compressed document are stored in a compressed code. A query request is received, the query request is converted into the compressed code, and the converted query request is compared with the compressed codes stored in the compressed document. The initiator of the query request is then informed about the results of the comparison.

Method and system for searching compressed data

A method and system for training a handwriting recognizer at the time of misrecognition is provided. In a preferred embodiment, a trainer program traps and stores the output from a recognizer. The output includes the recognized symbols mapped to the handwritten data. When training is requested by a user, the trainer displays the handwritten data that was input by the user and the recognized symbols. The user then selects the symbols to train on. In response to the selection, the trainer displays the portion of the handwritten data corresponding to the selected symbols. The user then enters the symbols that the displayed portion of the handwritten data should be recognized as. The trainer then requests the recognizer to train based on the displayed portion of the data and the entered symbols. When training is complete, the trainer requests re-recognition of the handwritten data and displays the newly recognized symbols.

Method and system for displaying handwritten data and recognized symbols

A method and system for recognizing a graphic object's shape, line style, and fill pattern in a pen environment are provided. In a preferred embodiment, a user draws a graphic object on an electronic tablet of a computer system. The graphic object comprises a shape attribute, a line style attribute, and a fill pattern attribute. A Recognizer, recognizes the graphic object. The graphic object is made up of a plurality of data points, each data point having an x-coordinate and a y-coordinate. The Recognizer subdivides the plurality of data points into one or more strokes, each stroke representative of a path travelled by the handwriting instrument after the handwriting instrument touches the tablet and before the handwriting instrument is lifted off of the tablet. For each data point in each stroke, the recognizer maps the data point to a normalized data point, then transforms the normalized data point into a transformed data point, and then determines whether the transformed data point is a shape-defining data point or an interior-defining data point. Shape-defining data points are representative of the shape attribute and the line style attribute, while the interior-defining data points are representative of the fill pattern attribute. Based on the coordinates of the transformed data points and the coordinates of the data points, the recognizer determines the attributes. After determining the attributes of the graphic object, the recognizer selects a representation of the graphic object that corresponds to the determined attributes and displays the representation on the electronic tablet.

Method and system for recognizing a graphic object's shape, line style,

According to principles of the invention, a method and apparatus are provided that organizes sample text into a format that facilitates character recognition. Sample text is analyzed for those features that define characters. Features that represent useful data for character recognition are stored and analyzed but features not useful for character recognition can be discarded. The sample text is segmented into arcs at each Y-extrema. A center of gravity is calculated for each arc. The arc features are saved as descriptive of the sample text for use in character recognition.

Method and apparatus for arc segmentation in handwriting recognition

Method and system for training a handwriting recognizer at the time of

A method and system for recognizing a graphic object's shape, line style, and fill pattern in a pen environment are provided. In a preferred embodiment, a user draws a graphic object on an electronic tablet of a computer system. The graphic object comprises a shape attribute, a line style attribute, and a fill pattern attribute. A Recognizer, provided by the present invention, recognizes the graphic object drawn by the user. The graphic object drawn by the user is made up of a plurality of data points, each data point having an x-coordinate and a y-coordinate. The Recognizer subdivides the plurality of data points into one or more strokes, each stroke representative of a path travelled by the handwriting instrument after the handwriting instrument touches the electronic tablet and before the handwriting instrument is lifted off of the electronic tablet. For each data point in each stroke, the recognizer maps the data point to a normalized data point, then transforms the normalized data point into a transformed data point, and then determines whether the transformed data point is a shape-defining data point or an interior-defining data point. Shape-defining data points are representative of the shape attribute and the line style attribute, while the interior-defining data points are representative of the fill pattern attribute. Based on the coordinates of the transformed data points and the coordinates of the data points input by the user, the recognizer determines the attributes. After determining what the attributes of the graphic object are, the recognizer selects a representation of the graphic object that corresponds to the determined attributes and displays the selected representation on the electronic tablet.

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Seattle, WA, United States of America

Marlin J Eller