Brien H. Muschett

Bio: Brien H. Muschett is an academic researcher from IBM. The author has contributed to research in topics: Markup language & VoiceXML. The author has an hindex of 14, co-authored 34 publications receiving 901 citations. Previous affiliations of Brien H. Muschett include Nuance Communications.

Software-enabled fast boot

Abstract: A method of generating a boot image and using the boot image to restore a computer system having a processor, an operating system, physical memory, virtual memory and disk storage. The method may be initiated from any particular software application, or at multiple execution points within a particular application. One or more boot images may be stored in association with an initiating application. By providing full virtual memory support in the boot image, the computer system may be restored to any predetermined operating state.

Method for fast reinitialization wherein a saved system image of an operating system is transferred into a primary memory from a secondary memory

Abstract: The invention relates to a computer in which an image of the operating system is maintained in a secondary memory. This memory is either powered from a source independent of the main memory, or is non-volatile in nature. When the computer is reinitialized, the loader software that normally builds the operating system from components instead checks the secondary memory for the presence of an operating system image. If such an image is detected, the loader transfers the image from the secondary memory to the primary memory and transfers control of the computing system to the image of the operating system now in the primary memory. If no image is detected, the loader operates in a standard fashion. Additionally, a complete system image may be stored in the secondary memory. This would include the contents of the primary memory, the contents of the virtual memory, and the system state. As such, a preexisting version of an operational computing system may be directly loaded at boot time.

Integrating conversational speech into Web browsers

Abstract: A method of integrating conversational speech into a multimodal, Web-based processing model can include speech recognizing a user spoken utterance directed to a voice-enabled field of a multimodal markup language document presented within a browser. A statistical grammar can be used to determine a recognition result. The method further can include providing the recognition result to the browser, receiving, within a natural language understanding (NLU) system, the recognition result from the browser, and semantically processing the recognition result to determine a meaning. Accordingly, a next programmatic action to be performed can be selected according to the meaning.

Spoken free-form passwords for light-weight speaker verification using standard speech recognition engines

Abstract: The present invention discloses a system and a method for authenticating a user based upon a spoken password processed though a standard speech recognition engine lacking specialized speaker identification and verification (SIV) capabilities. It should be noted that the standard speech recognition grammar can be capable of acoustically generating speech recognition grammars in accordance with the cross referenced application indicated herein. The invention can prompt a user for a free-form password and can receive a user utterance in response. The utterance can be processed through a speech recognition engine (e.g., during a grammar enrollment operation) to generate an acoustic baseform. Future user utterances can be matched against the acoustic baseform. Results from the future matches can be used to determine whether to grant the user access to a secure resource.

Method and apparatus for voice-enabling an application

Abstract: A method of voice-enabling an application for command and control and content navigation can include the application dynamically generating a markup language fragment specifying a command and control and content navigation grammar for the application, instantiating an interpreter from a voice library, and providing the markup language fragment to the interpreter. The method also can include the interpreter processing a speech input using the command and control and content navigation grammar specified by the markup language fragment and providing an event to the application indicating an instruction representative of the speech input.

Intelligent Automated Assistant

Abstract: An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Modular backup and retrieval system used in conjunction with a storage area network

Abstract: A modular computer storage system and method is provided for managing and directing data archiving functions, which is scalable and comprehends various storage media as well as diverse operating systems on a plurality of client devices. A client component is associated with one or more client devices for generating archival request. A file processor directs one or more storage devices, through one or more media components, which control the actual physical level backup on various storage devices. Each media component creates a library indexing system for locating stored data. A management component coordinates the archival functions between the various client components and the file processor, including setting scheduling policies, aging policies, index pruning policies, drive cleaning policies, configuration information, and keeping track of running and waiting jobs.

Electronic Devices with Voice Command and Contextual Data Processing Capabilities

Abstract: An electronic device may capture a voice command from a user. The electronic device may store contextual information about the state of the electronic device when the voice command is received. The electronic device may transmit the voice command and the contextual information to computing equipment such as a desktop computer or a remote server. The computing equipment may perform a speech recognition operation on the voice command and may process the contextual information. The computing equipment may respond to the voice command. The computing equipment may also transmit information to the electronic device that allows the electronic device to respond to the voice command.

Logical view and access to data managed by a modular data and storage management system

Abstract: A data retrieval system that includes a computer system having a processor that supports operation of at least one software application that is used for retrieving data in the computer system. A plurality of storage media are communicatively coupled to the processor with the plurality of storage media having data stored in at least one of the plurality of storage media. The software application has a retrieval module for retrieving data from the plurality of storage media, and a storage and backup map is included that indicates to the retrieval module a particular location of the data that is to be retrieved by the retrieval module.

Voice trigger for a digital assistant

Abstract: A method for operating a voice trigger is provided. In some implementations, the method is performed at an electronic device including one or more processors and memory storing instructions for execution by the one or more processors. The method includes receiving a sound input. The sound input may correspond to a spoken word or phrase, or a portion thereof. The method includes determining whether at least a portion of the sound input corresponds to a predetermined type of sound, such as a human voice. The method includes, upon a determination that at least a portion of the sound input corresponds to the predetermined type, determining whether the sound input includes predetermined content, such as a predetermined trigger word or phrase. The method also includes, upon a determination that the sound input includes the predetermined content, initiating a speech-based service, such as a voice-based digital assistant.