Microsoft Technology Licensing, LLC

Skype Limited

Ando Saabas

Markus Vaalgamaa

Andre Veski

Teele Tamme

Adriana Dumitras

Mattias Nilsson

Renat Vafin

Devid Liik

Sören Vang Andersen

Marlon Gerardo Dumas

Konstantin Tretjakov

Volodymyr Floreskul

André Karpistsenko

Evgenii Indenbom

Nicolae Ristea

This document relates to alignment of time-varying signals, such as sound. One example includes a method or technique that can be performed on a computing device. The method or technique can include inputting a first time-varying signal and a second time-varying signal into a trained model. The method or technique can also include performing temporal alignment of the first time-varying signal to the second time-varying signal using an attention layer of the trained model to obtain a temporally-aligned first time-varying signal. The method or technique can also include enhancing the second time-varying signal based at least on the temporally-aligned first time-varying signal, and outputting the enhanced second time-varying signal.

Temporal alignment of signals using attention

The disclosure relates to a communication client application for running on a user terminal to conduct calls over a network. The client is configured to access a model which models quality of user experience for calls based on a set of technical parameters of each call. The model itself is based on user feedback indicating subjective quality of multiple past calls as experienced by multiple users, modeled with respect to the technical parameters collected from each of the past calls. The model generates a predicted call quality score predicting the quality of user experience for the call given its technical parameters. Based on this process, one or more of the technical parameters of the call can be adapted to try to increase the quality experienced by the user.

Adapting parameters of a call in progress with a model that predicts call quality

The disclosure relates to of generating a data structure stored in a computer memory for use in performing a search query to determine a separation between nodes in a network of interconnected nodes, wherein the method comprises: selecting a set of landmark nodes from the network; and for at least two of the landmark nodes in the set; generating a path tree for each landmark node that indicates a separation between the landmark node and each of a plurality of nodes; wherein the generating is configured to limit the number of path trees each of said plurality of nodes may appear in to no more than a predetermined number of path trees. A method of processing a data structure is also disclosed.

Processing search queries using a data structure

Method, system, device, server and computer program product for analyzing a communication event occurring over a network, wherein a network service provider provides access to the network for a communication client executed at the device to engage in the communication event. The communication client detects a problem with the communication event. Communication metric data relating to the communication event is determined. It is determined, using the determined communication metric data, whether the detected problem is caused by a reason (i) of a poor network condition in the network, or a reason (ii) of the network service provider discriminating against transmission over the network of a type of data used in the communication event. In the event that it is determined that the detected problem is caused by reason (ii), a notification is provided to a user of the device.

Analysis of a communication event

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Tallinn, Estonia

Ando Saabas