Audio Interaction Segmentation Using Scoring Feedback
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Solution Overview
Problem
Existing audio analysis methods for segmenting audio interactions are sensitive to initial anchor segment choices, lack verification mechanisms, and fail to effectively distinguish between speaker sides, leading to unreliable and inefficient segmentation, especially in environments with multiple speakers, music, and background noise.
Innovation Solution
A novel speaker segmentation method that uses additional information such as CTI data, spotted words, and voice models to associate segments with specific speakers, incorporating a scoring system to validate segment accuracy and dynamically adjust thresholds for improved segmentation quality and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If unsupervised speaker segmentation algorithms are used, then speaker segments can be identified, but the performance is highly sensitive to initial anchor segment choices and lacks verification mechanism
Solution Approach 1:
The patent introduces a verification mechanism that provides feedback on segmentation quality by evaluating segment characteristics and anchor segment suitability. This feedback loop allows the system to assess whether segmentation results are reliable and identify when re-segmentation is needed, directly addressing the sensitivity to initial choices without requiring overly complex manual intervention
Solution Approach 2:
The patent performs preliminary evaluation of anchor segments before using them for segmentation. By pre-assessing segment characteristics and verifying anchor segment suitability, the system prevents poor initial choices from propagating through the entire segmentation process, improving reliability without requiring complex iterative refinement
2Measurement precision
If additional information sources such as CTI data and screen events are used, then segmentation accuracy improves, but the processing time and computational resources increase
Solution Approach 1:
The patent segments the audio stream into discrete segments and evaluates them individually, allowing selective processing. By working with segmented units rather than processing the entire audio stream simultaneously, the system can incorporate additional information sources like CTI data and screen events efficiently, improving accuracy without proportionally increasing processing time
Solution Approach 2:
The patent applies partial processing by evaluating only the necessary characteristics of each segment rather than analyzing all possible features exhaustively. This selective approach allows the system to incorporate multiple information sources (audio features, CTI data, screen events) to improve accuracy while avoiding the computational burden of complete analysis of all data types
3Productivity
If speech segments are segmented without considering speaker identification, then processing is simplified, but the ability to distinguish between speaker sides is lost
Solution Approach 1:
The patent creates a universal segmentation framework that serves multiple functions simultaneously: it segments the audio stream, identifies speaker changes, and associates segments with speaker sides. By making the segmentation process multi-functional, the system maintains processing efficiency while recovering the lost speaker side information through integrated evaluation of segment characteristics and speaker modeling
Data Source
AI summary
A method and apparatus for segmenting an audio interaction, by locating anchor segment from each side of the interaction, iteratively classifying additional segments into one of the two sides, and scoring the resulting segmentation, If the score result is below a threshold, the process is repeated until the segmentation score is satisfactory or until a stopping criterion is met. The anchoring and the scoring steps comprise using additional data associated with the interaction, a speaker thereof, internal or external information related to the interaction or to a speaker thereof or the like.