Conference Audio Stream Accent Modification for Speech Consistency
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Solution Overview
Problem
Conferencing software often struggles with participants having varying speech qualities, such as accents, volume, or pitch, which can be disruptive or irritating, affecting both real-time communications and recordings.
Innovation Solution
Implementing audio stream modification techniques that allow participants to manually or automatically adjust specific speech characteristics like pitch, volume, cadence, and accent in real-time during conferences or recordings, using models to process audio streams and modify them based on user requests or scoring approaches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio stream modification is implemented to adjust speech characteristics, then communication quality and consistency are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent introduces an audio stream modification system that acts as an intermediary between participants with different speech characteristics and the conference communication channel. This mediator processes audio streams in real-time, adjusting pitch, volume, cadence, and accent to ensure consistent communication quality without requiring changes to participant devices or communication infrastructure.
Solution Approach 2:
The patent modifies multiple acoustic parameters of speech signals including pitch frequency, volume amplitude, cadence timing, and accent phonetic characteristics. By changing these physical parameters of the audio waves, the system standardizes speech output across diverse participants while maintaining the core message and intent of communication.
2Stability of the object's composition
If real-time audio modification is applied to all speech characteristics, then communication consistency is improved, but processing time and computational resources increase
Solution Approach 1:
The patent divides speech modification into separate processing modules for different characteristics: pitch adjustment, volume normalization, cadence regulation, and accent standardization. Each module processes its specific parameter independently and in parallel, reducing overall processing time compared to sequential handling of all characteristics.
Solution Approach 2:
The patent applies modification only to specific speech characteristics that deviate from standard ranges, rather than uniformly processing all attributes. The system identifies and targets only the necessary adjustments needed for each participant's speech pattern, avoiding unnecessary processing of already-compliant parameters.
3Measurement precision
If manual user requests are required for audio modification, then user control and precision are improved, but ease of operation decreases
Solution Approach 1:
The patent incorporates feedback mechanisms where the audio modification system continuously monitors speech characteristics and automatically adjusts parameters based on real-time analysis. The system provides feedback loops that detect deviations from standard speech patterns and apply corrective modifications without requiring continuous manual user input, while still allowing users to override or adjust settings when needed.
Solution Approach 2:
The patent enables the audio modification system to automatically analyze and adjust speech characteristics without requiring manual user requests for each adjustment. The system serves itself by detecting speech quality issues and applying appropriate modifications autonomously, reducing the operational burden on users while maintaining precise control over speech standardization.
Data Source
AI summary
An audio stream is obtained from a participant device connected to a conference. The audio stream represents speech of a user of the participant device, and the conference includes the user and other participants. A determination is made that the accent of the speech represented in the audio stream is different from the accents of the other participants. A user request to modify the accent of the speech is received from a device of one of the conference participants. The accent of the speech in the audio stream is modified to produce a modified audio stream. The modified audio stream is then caused to be output at the participant device from which the user request is received.