Abstract: 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.

Abstract: This document relates to training and employing a quality estimation model. 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 the training signals, and training a quality estimation model to estimate signal quality based at least on the training signals and the quality labels.

Abstract: 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.

Abstract: 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.