Nuance Communications, Inc.

David Mark Krowitz

Michael Jack Newman

Michael D Edgington

Anthony Gillet

William F Ganong, Iii

Mark Fanty

Timothy Lynch

Techniques for combining the results of multiple recognizers in a distributed speech recognition architecture. Speech data input to a client device is encoded and processed both locally and remotely by different recognizers configured to be proficient at different speech recognition tasks. The client/server architecture is configurable to enable network providers to specify a policy directed to a trade-off between reducing recognition latency perceived by a user and usage of network resources. The results of the local and remote speech recognition engines are combined based, at least in part, on logic stored by one or more components of the client/server architecture.

Configurable speech recognition system using multiple recognizers

Configurable speech recognition system using a pronunciation alignment between multiple recognizers

Systems, methods and apparatus for capturing at least one audio signal using a plurality of microphones that generate a plurality of representations of the at least one audio signal. In some embodiments, the plurality of microphones are disposed in a multiple-microphone setting so that the at least one audio signal is captured by at least two of the plurality of microphones. In some embodiments, at least one of the plurality of microphones is a microphone of a mobile device. The plurality of representations of the at least one audio signal may be processed to obtain a processed representation of the at least one audio signal.

Systems and methods for processing audio signals captured using microphones of multiple devices

Techniques for combining the results of multiple recognizers in a distributed speech recognition architecture. Speech data input to a client device is encoded and processed both locally and remotely by different recognizers configured to be proficient at different speech recognition tasks. The client/server architecture is configurable to enable network providers to specify a policy directed to a trade-off between reducing recognition latency perceived by a user and usage of network resources. The results of the local and remote speech recognition engines are combined based, at least in part, on logic stored by one or more components of the client/server architecture. An indication of the availability of the remote speech recognition to perform speech recognition at a point in time may be provided to a user of the client device via a user interface of the client device.

Growing community of inventors

Reading, MA, United States of America

David Mark Krowitz