Dolby Laboratories Licensing Corporation

Future Wei Technologies, Inc.

Huawei Technologies Co., Limited

Doh-Suk Kim

Shen Huang

Scott J Daly

Jeffrey Charles Riedmiller

Xuejing Sun

Sean Thomas McCarthy

Gary Spittle

Jason Michael Cloud

Ludovic Christophe Malfait

Raphael Marc Ullmann

Kai Lin Li

Kai Li

Jean-Francois Catz

A method for delivering media to a playback device including outputting first test media to be viewed by a first user. The method further includes receiving a first user input related to a first perception of the first test media by the first user and indicating a first personalized quality of experience of the first user with respect to the first test media. The method further includes generating a first personalized sensitivity profile including one or more viewing characteristics of the first user based on the first user input, and determining, based at least in part on the first personalized sensitivity profile, a first media parameter. The first media parameter is determined in order to increase an efficiency of media delivery to the first playback device over a network while preserving the first personalized quality of experience of the first user.

Personalized sensitivity measurements and playback factors for adaptive and personalized media coding and delivery

A service request for communication services for communication clients is received. In response, a communication service network is set up to support the communication services. Routing metadata is generated for each of the communication clients. The routing metadata is to be used by each of the communication clients for sharing service quality information with a respective peer communication client over a light-weight peer-to-peer (P2P) network. The routing metadata is downloaded to each of the communication clients. A communication client may exchange service signaling packets or service data packets over the communication service network. When the communication client determines that there is a problematic region in a bitstream received from the communication server, the communication client can request a peer communication client for a service quality information portion related to the problematic region.

In-service quality monitoring system with intelligent retransmission and interpolation

This disclosure falls into the field of voice communication systems, more specifically it is related to the field of voice quality estimation in a packet based voice communication system. In particular the disclosure provides a method and device for reducing a prediction error of the voice quality estimation by considering the content of lost packets. Furthermore, this disclosure provides a method and device which uses a voice quality estimating algorithm to calculate the voice quality estimate based on an input which is switchable between a first and a second input mode.

Methods and devices for improvements relating to voice quality estimation

This disclosure falls into the field of voice communication systems, more specifically it is related to the field of voice quality estimation in a packet based voice communication system. In particular the disclosure provides methods, computer program products and devices for reducing a prediction error of the voice quality estimation by considering forward error correction of lost voice packets.

Voice quality monitoring system

Systems and methods are described for measuring capture performance of multiple voice signals. A first speech signal is applied to a device, and measured at far-end at a far-end of a testing environment. A second speech signal is separately applied to the device, and is also measured at the far end. The measured speech signals are added, and a quality assessment model is applied to the first far-end combined signal to obtain a first quality metric. The first speech signal and the second speech signal are then both applied at the same time to the device and measured at the far-end. The quality assessment model is applied to the second far-end combined signal to obtain a second quality metric. The quality metric for the second far-end combined signal is normalized, based on the first quality metric, to obtain a performance index for the device.

Testing device capture performance for multiple speakers

This disclosure falls into the field of voice communication systems, more specifically it is related to the field of voice quality estimation in a packet based voice communication system. In particular the disclosure provides a method and device for 5 reducing a prediction error of the voice quality estimation by considering the content of lost packets. Furthermore, this disclosure provides a method and device which uses a voice quality estimating algorithm to calculate the voice quality estimate based on an input which is switchable between a first and a second input mode.

Example embodiments disclosed herein relate to an evaluation of perceptual delay impact on a conversation. A method of evaluating perceptual delay impact on a conversation is disclosed. The method includes detecting a conversational event between a first participant and a second participant, the conversational event including a plurality of speech segments; in response to the conversational event being detected, obtaining at least one conversational parameter for the first and second participants, the at least one conversational parameter indicating a relationship between the plurality of speech segments in the conversational event; and determining a quality of the conversation according to a model based on the at least one conversational parameter, the model characterizing the quality with the at least one conversational parameter. A method of obtaining a model for evaluating perceptual delay impact on a conversation is also disclosed. Corresponding systems and computer program products are also disclosed.

Evaluation of perceptual delay impact on conversation in teleconferencing system

A voice quality estimation process may be triggered by receiving one or more alarms corresponding to one or more endpoint terminals being used during a teleconference. The alarm(s) may include uplink transmission alarms, downlink transmission alarms and/or acoustic quality alarms. The alarms may be based on evaluating transmission metrics and/or acoustic quality metrics. The voice quality estimation process may require a relatively greater computational burden than the processes of evaluating the transmission metrics and/or acoustic quality metrics for the purpose of potentially triggering an alarm. The accuracy and computational complexity of voice quality estimation may be adjusted by selecting times during which alarm detection will take place, alarm detector thresholds, alarm analyzer thresholds and/or levels of voice quality estimation.

In-service monitoring of voice quality in teleconferencing

A system and method of matching reverberation in teleconferencing environments. When the two ends of a conversation are in environments with differing reverberations, the method filters the reverberation so that when both signals are output at the near end (e.g., the audio signal from the far end and the sidetone from the near end), the reverberations match. In this manner, the user does not perceive an annoying difference in reverberations, and the user experience is improved.

Matching reverberation in teleconferencing environments

An apparatus comprising an ingress port configured to receive a signal comprising a plurality of encoded audio signals corresponding to a plurality of sources; and a processor coupled to the ingress port and configured to calculate a parameter for each of the plurality of encoded audio signals, wherein each parameter is calculated without decoding any of the encoded audio signals, select some, but not all, of the plurality of encoded audio signals according to the parameter for each of the encoded audio signals, decode the selected signals to generate a plurality of decoded audio signals, and combine the plurality of decoded audio signals into a first audio signal.

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Cupertino, CA, United States of America

Doh-Suk Kim