Amazon Technologies, Inc.

Bruno Dufour

Maciej Makowski

Fabian Andreas Bumberger

Sembhayya Gollakota

Michal Kowalczuk

Oliver Sinsik Chiu

Maciej Grabon

Ashwin Venkatesh Raman

Sasi Kiran Vepanjeri Lokanadha Reddy

Sahil Puri

Zhengran Li

Zhan Xu

Stanislaw Ignacy Pasko

Peipei Tan

Dmitry M Sharygin

A speech interface device is configured to switch between languages, at the request of a user, in order to locally process utterances spoken in different languages, even in instances when a remote system is unavailable to, slower than, or otherwise less preferred than the speech interface device. For example, a user can request to set the language setting of the speech interface device to a second language, different from a first language to which the language setting of the device is currently set. Based on this user request, a local speech processing component of the device may load a language model(s) associated with the second language. The speech interface can also output voice prompts in the second language to manage the user's experience while a language update is in progress on the speech interface device.

Language switching on a speech interface device

Techniques for using multiple voice-enabled devices in a user environment to reduce the latency for obtaining responses to user utterances from a remote system. The voice-enabled devices may each establish connections with the remote system to have the remote system perform supplemental speech processing for utterances the devices are unable to process locally. One voice-enabled device may have a higher-latency connection to the remote system, and another voice-enabled device may have a lower-latency connection to the remote system. The lower-latency device may send an utterance to the remote system before the higher-latency device is able, and the remote system may begin processing the utterance faster than if the lower-latency device sent the utterance. The remote system may then provide a response for the utterance to the higher-latency device in less time than if the remote system had to wait for the utterance from the higher-latency device.

Speech recognition using multiple voice-enabled devices

Some natural language command processing systems may handle some commands on a user device rather than sending input to another system for processing. Such a system may include an arbitration component for arbitrating between device and/or system processing. The arbitration component may execute in the system and render a device-specific decision as to whether the device will be able to process the input and/or execute the command, based on information known to the system about the device's capabilities. If the arbitration component predicts that the device will not be able to execute the command, the system may execute the command without waiting for a signal from the device. If the arbitration component predicts that the device will be able to execute the command, the system may halt processing to prevent duplicate execution.

Predicting on-device command execution

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Bruno Dufour