Microsoft Technology Licensing, LLC

Christopher Dac Le

Michael D Plumpe

Jon Hamaker

Rob Chambers

Julian James Odell

Onur Domanic

Michael V Calcagno

Travis Wilson

Michael Calcagno

The present disclosure describes an exemplary hybrid client/server architecture that may be utilized leverage the unique capabilities of both remote and local services. Data may be processed in parallel by remote and local processes. Results generated during the parallel processing may be exchanged between remote and local services and used to update results generated by the separate services. The hybrid client/server architecture may be utilized to generate enhanced inferences, hybrid subscriptions base upon local and remote subscriptions, and enhance natural language expression evaluation services.

Hybrid client/server architecture for parallel processing

A local feedback mechanism for customizing training models based on user data and directed user feedback is provided in speech recognition applications. The feedback data is filtered at different levels to address privacy concerns for local storage and for submittal to a system developer for enhancement of generic training models.

Local and remote aggregation of feedback data for speech recognition

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Redmond, WA, United States of America

Christopher Dac Le