International Business Machines Corporation

Nuance Communications, Inc.

Hcl America Inc.

Michael Florio

John W Eckhart

Steven Gary Woodward

Harvey M Ruback

Gary Robert Hanson

Michael Hudson

Daniel E Badt

Jonathan Palgon

Werayuth T Charoenruengkit

Lisa Abbott

Radek Hampl

Pavel Krbec

William Russell Whitehead

Sunil Dandamudi

Samuel Dwumfour

This disclosure relates to method and system for identifying suspicious code contribution of a user to a source code repository. The method includes receiving a plurality of updated code files of a source code repository from a user through an event. The method further includes extracting a plurality of user action parameters from the event corresponding to each of the plurality of updated code files. The method further includes storing the plurality of updated code files and the plurality of user action parameters from the event corresponding to each of the plurality of updated code files in a database. The method further includes identifying at least one of the set of user actions as a suspicious code contribution of the user for at least one of the plurality of updated code files of the source code based on the plurality of user action parameters.

Method and system for identifying suspicious code contribution to a source code repository

The present invention discloses a solution for conserving computing resources when implementing transformation based adaptation techniques. The disclosed solution limits the amount of speech data used by real-time adaptation algorithms to compute a transformation, which results in substantial computational savings. Appreciably, application of a transform is a relatively low memory and computationally cheap process compared to memory and resource requirements for computing the transform to be applied.

Resource conservative transformation based unsupervised speaker adaptation

An in-vehicle system that shares speech processing resources among multiple applications located within a vehicle. The system can include one or more software applications, each associated with different functionally independent in-vehicle consoles. Each application can have a console specific user interface. The system can also include a single in-vehicle speech processing system implemented separately from the in-vehicle consoles. The speech processing system can execute speech processing tasks responsive to requests received from the applications. That is, the in-vehicle speech processing system can provide speech processing capabilities for the applications. The provided speech processing capabilities can include text-to-speech capabilities and speech recognition capabilities.

Supporting multiple speech enabled user interface consoles within a motor vehicle

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Lake Worth, FL, United States of America

Michael Florio