Conference Audio Segmentation via Conversational Dynamics Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current teleconferencing systems record audio as a single monophonic stream, lacking spatial information and conversational dynamics, which affects the playback experience and regulatory compliance, especially in industries like banking.
Innovation Solution
Processing audio data to analyze conversational dynamics and spatial information, applying optimization techniques to assign virtual positions in a virtual acoustic space, and re-scheduling playback to enhance the listening experience and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a single monophonic stream is used to record teleconference audio, then the recording system is simple and easy to implement, but the playback experience is poor and lacks spatial information
Solution Approach 1:
The patent segments the monophonic audio stream into multiple separate audio channels, each corresponding to a different conference participant. This segmentation preserves spatial information by maintaining distinct audio paths for each participant while keeping the recording system relatively simple.
Solution Approach 2:
The patent transitions from a one-dimensional monophonic recording to a multi-dimensional spatial audio representation by assigning virtual positions to each conference participant in a virtual acoustic space, restoring spatial information that was lost in the original monophonic recording.
2Device complexity
If a single monophonic stream is used to record teleconference audio, then the recording facility is simple, but the playback experience is identical to passive phone listening
Solution Approach 1:
The patent implements dynamic spatial positioning of conference participants in the virtual acoustic space based on conversational dynamics analysis. Participants are positioned according to who is speaking, creating an immersive playback experience that adapts to the conversation flow while maintaining simple recording facilities.
Solution Approach 2:
The patent changes the playback parameters by rendering audio to different virtual positions in the acoustic space based on conversational dynamics, transforming the static monophonic recording into a dynamic spatial audio experience that enhances playback quality without complicating the recording facility.
3Measurement precision
If conversational dynamics analysis is performed to determine virtual positions, then spatial accuracy is improved, but processing complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing conversational dynamics and determining virtual positions without requiring manual configuration. The processing complexity is managed through automated algorithms that analyze speech patterns and assign positions based on who is speaking, achieving high spatial accuracy while keeping the system self-configuring.
Solution Approach 2:
The patent uses feedback from conversational dynamics analysis to continuously adjust virtual positions of participants. The system monitors speech activity and feeds this information back into the positioning algorithm, maintaining accurate spatial representation while managing processing complexity through efficient feedback loops.
Data Source
AI summary
Various disclosed implementations involve processing and/or playback of a recording of a conference involving a plurality of conference participants. Some implementations disclosed herein involve analyzing conversational dynamics of the conference recording. Some examples may involve searching the conference recording to determine instances of segment classifications. The segment classifications may be based, at least in part, on conversational dynamics data. Some implementations may involve segmenting the conference recording into a plurality of segments, each of the segments corresponding with a time interval and at least one of the segment classifications. Some implementations allow a listener to scan through a conference recording quickly according to segments, words, topics and/or talkers of interest.


