Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Karlton David Sequeira

Ross Garrett Cutler

Sriram Srinivasan

Senthil Kumar Velayutham

Ramin Mehran

Jayant Ajit Gupchup

Eoin Francis Cavanagh

Michael S Stewart

A device for communicating with a remote device is disclosed, which includes a processor and a memory in communication with the processor. The memory includes executable instructions that, when executed, cause the processor to control the device to perform functions of establishing, via a communication network, a communication session with the remote device; capturing a speech spoken by a user and generating audio data representing the captured speech by the user; encoding the audio data for transmission to the remote device via the communication network; converting the audio data to text data representing the captured speech; and transmitting, during the communication session, the encoded audio data and the text data to the remote device via the communication network. The device thus can provide the text data representing the captured speech when a quality of the encoded audio signal received by the remote device is below a predetermined level.

Artificially generated speech for a communication session

Content is received at a receiving equipment from a transmitting user terminal over a network in a communication session between a transmitting user and a receiving user. The received content comprises audio data representing speech spoken by a voice of the transmitting user, and further comprises text data generated from speech spoken by the voice of the transmitting user during the communication session. At the receiving equipment, at least a portion of the received text data is converted to artificially-generated audible speech based on a model of the transmitting user's voice stored at the receiving equipment (and in embodiments in dependence on the receive audio quality). The received audio data and the artificially-generated speech are supplied to be played out to the receiving user through one or more speakers.

Generally described, systems and methods are provided for detecting locations of failures of network paths. The system collects information from a plurality of nodes and links in a network, aggregates the collected performance information across paths in the network, processes the aggregated performance information for detecting failures on the paths, and determines at least one location for network failures. In some aspects, processing the aggregated information may include determining the performance information on each of the nodes and links in the network. The performance information on each of the nodes and links may be determined by application of a stochastic gradient descent (SGD) technique.

Determining locations of network failures

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Seattle, WA, United States of America

Karlton David Sequeira