Microsoft Technology Licensing, LLC

Ganapathy V Raman

Michael Nelson

Mahendra D Sekaran

Weizhu Chen

Krishnan Ananthanarayanan

Kerry Woolsey

Woo Ram Lee

Aritra DattaGupta

Santosh Vasant Bhosale

Aarohi Arora

Manoj Ajith Prasad

Sparky Toews

Will Qian

Matthew Justice

Roger F Johnson

Vladyslav Bazyliak

Somak Mitra

Bryan Wilhelm

Benjamin Reich

Eric Norman Badger

John David Bruner

Johannes Klein

Humayun Mukhtar Khan

Gursharan Singh Sidhu

Jeffrey B Kay

Itai Almog

Anish Desai

Eric S Hamilton

Mansoor Jafry

Amit Kumar Dutta

Timothy Seung Yoon Paek

Oliver Bruno Colbert

Mieszko G Matkowski

Ray Froelich

William Qian

Chit Wei Saw

Aurelio Navarro Belletti Garcia

Eugen Pajor

Ernesto Miranda Pedrosa Da Silva

Rafael Alberto Marques Torres

Eduard Ostrovsky

Edgar Pereira Alves

Michael J Nelson

Methods for configurable and proactive application diagnostics and recovery are performed by systems and devices. A diagnostics manager determines diagnostics packages corresponding to problems described in client device diagnostics requests. Session identifiers are generated and returned with diagnostics identifiers to clients which then provide the session identifiers and diagnostics identifiers to a service manager for session initiation. Diagnostics packages are located, retrieved, and provided back to the client by the service manager that invokes a client-side engine to execute diagnostics packages. Results are provided to the diagnostics system which determines additional packages to be executed by the engine during the same diagnostics session. Further, device-specific tokens are acquired by client devices which execute local diagnostic packages and acquire remote diagnostic packages for execution in the same session. Additionally, diagnostics packages provide their own user interfaces, and local packages are automatically executed upon invocation of help applications.

System and method for configurable and proactive application diagnostics and recovery

Various embodiments provide real-time translation of a voicemail into a readable format as the voicemail is being recorded. In some cases, a system server records the voicemail by first answering a call from an originating device that goes unanswered by a destination device. Upon answering the call, the system server translates the recording, while it is being recorded, into a readable format. Alternately or additionally, the system server forwards portions of the readable format to the destination device. In turn, as the destination device receives portion(s) of the real-time translation, it can display the associated content, and/or update what is displayed as new portions are received. At times, the destination device provides additional call control that interrupts the voicemail while it is being recorded at the system server, and redirects the call to the destination device if the originating device is still connected.

Text translation of an audio recording during recording capture

Signaling from a mobile device is transparently tunneled through a cellular voice network to a Voice over Internet Protocol ('VoIP') core network so that multi-party calls, including conference calls and call waiting, can be managed entirely within the VoIP core network. The tunneled signals enable call control to be implemented in the VoIP core network and also establish a way to communicate requests, instructions, and call state. The signaling is transparent to the cellular network because that network does not receive and interpret the signaling. Instead, the cellular network's existing and unmodified control plane is repurposed by the mobile device by placing new, brief outgoing calls through the cellular network to the VoIP core network where the called party number (i.e., the caller-ID) encodes specific information. The VoIP core network immediately releases the new cellular call once the caller-ID is received and the encoded information is interpreted.

Tunneling VoIP call control on cellular networks

The collection and clustering of data input characteristics from a plurality of computing devices is provided. The clustered data input characteristics define user groups to which users are assigned. Input models such as language models and touch models are created for, and distributed to, each of the user groups based on the data input characteristics of the users assigned thereto. For example, an input model may be selected for a computing device based on a current context of the computing device. The selected input model is applied to the computing device during the current context to alter the interpretation of input received from the user via the computing device.

Clustering crowdsourced data to create and apply data input models

Securing an out-of-band message from a server to a mobile computing device. After requesting a service ticket from a trusted third party (e.g., via a pre-existing ticketing infrastructure), the requested service ticket and a shared secret are obtained from the trusted third party via a first channel. The mobile computing device thereafter sends the service ticket with the shared secret to a server via a second channel. The server encrypts a message (e.g., an SMS message) using the shared secret. The mobile computing device receives the encrypted message from the server via a third channel that is out-of-band relative to the first channel. The encrypted message is decrypted via the shared secret and the decrypted message is provided to a user of the mobile computing device. In some embodiments, the message includes commands for controlling the mobile computing device.

Securing out-of-band messages

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Redmond, WA, United States of America

Ganapathy V Raman