Microsoft Technology Licensing, LLC

Vishak Gopal

Ross Garrett Cutler

Mahendra D Sekaran

Krishnan Ananthanarayanan

Amit Kumar Dutta

Mieszko G Matkowski

Chandan Karadagur Ananda Reddy

Harishchandra Dubey

This document relates to distributed teleconferencing. Some implementations can employ adaptive audio or video enhancement to address scenarios where audio enhancement can tend to remove desirable sounds. For instance, adaptive audio enhancement can involve detecting the presence of a sound, such as clapping, and modifying audio enhancement so that the sound is retained in an enhanced audio signal. Adaptive video processing can involve detecting the presence of the sound and adding a graphical identifier to a video signal that conveys the presence of that sound.

Adaptive enhancement of audio or video signals

This document relates to training and employing of quality estimation models to estimate the quality of different signal characteristics. One example includes a method or technique that can be performed on a computing device. The method or technique can include obtaining training signals exhibiting diverse impairments introduced when the training signals are captured or diverse artifacts introduced by different processing characteristics of a plurality of data enhancement models. The method or technique can also include obtaining quality labels for different signal characteristics of the training signals. The method or technique can also include training at least two different quality estimation models to estimate quality of at least two different signal characteristics based at least on the training signals and the quality labels.

Quality estimation models for various signal characteristics

The customization of a communication pipelines having multiple stages. For each stage, a set of agent(s) is/are identified as available for adding to that stage. Furthermore, any stages that already have an agent assigned are identified. In response to receiving a user selection of an agent to be assigned to a particular stage, that does not already have an agent assigned, the selected agent is assigned to the stage. An enforcement agent enforces that there be only one agent assigned at most to each stage. Assignments of agents are made per stage. This allows the functionality of the agent to be simplified more towards augmenting the functionality of the stage. Accordingly, the logic of the agent is simplified, thereby making it more likely that there will be a healthy quality of agents available to select from for each stage.

Per-stage assignment of pipelines agents

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Vishak Gopal