Perceptual Delay Evaluation Model for Teleconferencing Quality
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Solution Overview
Problem
Conventional delay evaluation methods in audio communication scenarios, such as teleconferencing, fail to accurately reflect the perceived quality of conversations due to their inability to differentiate between varying impacts of delay on user experience, especially in intense discussions versus one-way communication scenarios.
Innovation Solution
A method and system that detect conversational events, obtain conversational parameters indicating relationships between speech segments, and use a model to determine the quality of conversations, allowing for precise evaluation of perceptual delay impact by selecting a parametric function defined by these parameters and adjusting coefficients based on user satisfaction feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional delay evaluation methods are used to measure absolute delay values, then the measurement process is simple, but the measurement precision of perceived conversation quality is insufficient
Solution Approach 1:
The patent transforms the evaluation from measuring only absolute delay values to measuring multiple conversational parameters including turn-taking patterns, speech segment relationships, and interaction dynamics. This parameter transformation enables the system to capture the perceived quality of conversation rather than just physical delay metrics
Solution Approach 2:
The patent introduces a model-based evaluation system that acts as an intermediary between raw delay measurements and perceived quality assessment. The model processes multiple conversational parameters and synthesizes them into a comprehensive quality metric that reflects user experience
2Measurement precision
If a model based on multiple conversational parameters is used, then the measurement precision of perceived quality is improved, but the device complexity increases
Solution Approach 1:
The patent segments the conversation into discrete speech segments and identifies specific conversational events (turn-taking, interruptions, overlaps). This segmentation allows the system to analyze delay impact at granular levels rather than treating the entire conversation as a single metric
Solution Approach 2:
The patent adds temporal and relational dimensions to delay evaluation by analyzing the relationships between speech segments over time. Instead of measuring only the magnitude of delay, the system evaluates how delay affects conversation flow, turn-taking patterns, and interaction dynamics across multiple dimensions
Data Source
AI summary
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.