Spatial Conference Roles and Stages for Speaker Recognition
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Solution Overview
Problem
Conventional conference call systems lack spatial conference techniques, making it difficult to recognize speakers with similar voices, allow multiple participants to speak simultaneously, and do not facilitate division into sub-conferences or seamless movement between them, leading to a chaotic and unengaging experience.
Innovation Solution
A system utilizing an AI engine to assign roles and stages to conference participants, enabling spatial audio effects and allowing participants to 'peek' into other stages based on their roles, with privileged users controlling tasks across multiple stages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional conference call systems use a single voice channel for all participants, then system simplicity is maintained, but speaker recognition becomes difficult and conference quality degrades
Solution Approach 1:
The patent divides the conference call into multiple spatial channels or zones, allowing different participants to be assigned to different spatial locations. This segmentation enables the system to distinguish between speakers based on their spatial position, resolving the contradiction between system simplicity and speaker recognition capability.
Solution Approach 2:
The patent introduces a spatial dimension to the conference call system by assigning participants to different virtual locations and using spatial audio rendering. This adds a new dimension (spatial positioning) to the traditional single voice channel, enabling speaker identification through spatial cues without significantly increasing system complexity.
2Productivity
If multiple participants speak simultaneously in conventional conference calls, then communication efficiency is reduced, but the system structure remains simple
Solution Approach 1:
The patent implements dynamic speaker selection and spatial positioning that adapts in real-time based on who is speaking. The system dynamically adjusts which spatial channels are active and how audio is rendered, allowing efficient management of multiple speakers without requiring complex manual control mechanisms.
Solution Approach 2:
The system automatically manages speaker prioritization and spatial positioning based on detected speech activity, eliminating the need for manual moderator control. Participants are automatically assigned to appropriate spatial positions based on their speech patterns and role, enabling efficient communication without increasing operational complexity.
3Adaptability or versatility
If conventional conference systems allow one-to-many engagement only, then system simplicity is maintained, but user engagement and interaction quality suffer
Solution Approach 1:
The patent segments the conference into multiple interactive zones or sub-conferences, each capable of handling different interaction patterns. This allows the system to support both one-to-many and many-to-many interactions simultaneously by dividing participants into different spatial groups, maintaining versatility without overwhelming complexity.
Solution Approach 2:
The spatial conference system is designed to handle multiple interaction modes (one-to-many, many-to-many, small group discussions) within a single unified framework. The same spatial audio technology and role assignment mechanism support various engagement types, providing adaptability without requiring separate system structures for each mode.
4Loss of information
If spatial audio effects and role-based privileges are implemented, then speaker recognition and conference organization improve, but system complexity increases
Solution Approach 1:
The patent introduces an AI engine as an intermediary that handles the complex tasks of spatial positioning, role assignment, and audio rendering. This intermediary layer manages the complexity of spatial processing and presents a simplified interface to users, improving speaker recognition while containing system complexity within the automated AI layer.
Solution Approach 2:
The AI engine automatically performs role assignment and spatial positioning based on participant behavior and conference context, eliminating the need for manual configuration. This self-service approach handles the complexity of spatial processing automatically, improving speaker identification without requiring users to manage the underlying system complexity.
Data Source
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AI summary
The present disclosure relates to a system and method for facilitating a robust and effective solution to an entity or an organization by enabling the entity to implement a system for enhancing user experience of a conference user in case of workflow based conference by making use of spatial conference techniques and by providing roles based privilege where a conference user can interact with other sub groups in the conference. Thus, the system and method of the present disclosure may be beneficial for both entities and users.