Abstract: Embodiments provide systems and methods for activating applications in a distributed asynchronous system based on detecting touches on a display. The system detects an input on a display. The input on the display may be, for example, from a human touch or a pointing device. An input state manager executes hit-testing on a visual tree to identify a selected view using the input on the display. The selected view is compared to an active view. A shell in the system is notified when the selected view does not match the active view. The input state manager is then notified if the selected view should be made a new active view. The system instructs an application activation service to activate an application associated with the selected view. An input state manager is notified when the application associated with the selected view has been made an active view.

Abstract: A computer system supports a protocol to process directional navigation inputs to a host application and its component, to manage which component is currently active to receive input events. A first component determines whether to transfer focus to a second component. The first component initiates the transfer by sending a request to the second component. Further input events are queued. The second component processes the request to determine how to transfer focus within the second component. The second component indicates to the operating system how focus has been transferred. The operating system updates information to reflect the changes in state of the components, and informs the host and component that the state has been updated. Queued input events then can be released for processing according to the changed focus. Where the components are separate, independent processes, the protocol can be implemented through inter-process communication techniques.

Abstract: A computer system supports a protocol to process directional navigation inputs to a host application and its component, to manage which component is currently active to receive input events. A first component determines whether to transfer focus to a second component. The first component initiates the transfer by sending a request to the second component. Further input events are queued. The second component processes the request to determine how to transfer focus within the second component. The second component indicates to the operating system how focus has been transferred. The operating system updates information to reflect the changes in state of the components, and informs the host and component that the state has been updated. Queued input events then can be released for processing according to the changed focus. Where the components are separate, independent processes, the protocol can be implemented through inter-process communication techniques.

Abstract: Embodiments provide systems and methods for activating applications in a distributed asynchronous system based on detecting touches on a display. The system detects an input on a display. The input on the display may be, for example, from a human touch or a pointing device. An input state manager executes hit-testing on a visual tree to identify a selected view using the input on the display. The selected view is compared to an active view. A shell in the system is notified when the selected view does not match the active view. The input state manager is then notified if the selected view should be made a new active view. The system instructs an application activation service to activate an application associated with the selected view. An input state manager is notified when the application associated with the selected view has been made an active view.

Abstract: Embodiments provide systems and methods for activating applications in a distributed asynchronous system based on detecting touches on a display.

Abstract: Embodiments provide systems and methods for activating applications in a distributed asynchronous system based on detecting touches on a display.

Abstract: The system described herein facilitates the control, by spoken input, of multiple user application programs running under an operating system providing multi-tasking capability. A speech recognition program runs as one of the multi-tasked programs. The recognition program is operative to provide translation, either text or program commands, of spoken words in accordance with a translation table. Each of the other user application programs which is to be controlled is provided with a respective translation table section. In accordance with the invention, the recognition program includes means for creating a database for each of the other user application programs which is run and stores, in the respective database, a record reflecting each translation which is sent to a running one of the other application programs. These records identify the speech event which was translated and also identifies alternate possible translations of the speech event.

Abstract: In the speech recognition system disclosed herein, an input utterance is submitted to both a large vocabulary isolated word speech recognition module and a small vocabulary continuous speech recognition module. The two recognition modules generate respective scores for identified large vocabulary models and for sequences of small vocabulary models. The score provided by the continuous speech recognizer is normalized on the basis of the length of the speech input utterance and an arbitration algorithm selects among the candidates identified by the recognition modules. Preferably, the competing scores from the two recognizers are scaled by a factor or factors empirically trained to minimize incursion by each of the vocabularies on correct results from the other vocabulary.

Abstract: The speech recognition system disclosed herein operates to select, from a collection of tokens which represent vocabulary words, those tokens which most closely match an unknown spoken word. The collection of tokens is divided into partitions, each of which is characterized or identified by a representative one of the tokens. Both the tokens and the unknown speech word are represented by a sequence of standard data frames which may, for example, define characteristic spectra. In operation, the system computes the distance from the unknown to each of the representative tokens and then, starting with the partition having the nearest representative token and proceeding through partitions represented by successively more distant tokens, examines the other tokens in that partition while keeping a list of predetermined length identifying the examined tokens which thus far provide the best match. This process is continued until the number of distance calculations performed reaches a preselected level.