Context-Aware Audio Enhancement for Call Centers
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Solution Overview
Problem
Current audio enhancements in customer-agent interactions are limited, as they typically only include speech and silence, failing to effectively change the mood or improve customer experience, and existing solutions lack personalized and dynamic audio adjustments based on customer and agent attributes and call contexts.
Innovation Solution
Implementing an AI-driven system that selectively applies audio enhancements, such as background music or sounds, to customer and agent communication channels based on customer attributes, call contexts, and real-time analysis, allowing for personalized mood influence and decision-making impacts, with options for volume, tempo, and fade-in/fade-out control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If audio enhancements are limited to speech and silence only, then the system complexity is low, but the ability to change mood and improve customer experience is insufficient
Solution Approach 1:
The patent introduces an audio enhancement system that acts as an intermediary between the customer-agent interaction and the emotional atmosphere. The system selectively applies background music and sounds to the customer's audio channel to influence mood without interfering with the core speech communication. This mediator approach enables mood enhancement while maintaining system manageability through controlled intervention rather than complete restructuring of the communication system.
Solution Approach 2:
The patent segments the audio enhancement application by separating customer audio and agent audio channels, applying enhancements only to the customer channel during specific call phases. This segmentation allows the system to introduce complex audio enhancements selectively rather than globally, reducing overall system complexity while achieving the desired mood-changing effect for customers.
2Adaptability or versatility
If audio enhancements are applied system-wide or based on simple call attributes, then the implementation is simple, but the personalization and dynamic adaptation to specific customers and situations is insufficient
Solution Approach 1:
The patent implements dynamic audio enhancement selection based on multiple factors including call phase, customer attributes, agent attributes, and interaction context. The system continuously adapts the audio enhancement choices throughout the call duration, transitioning from on-hold music to background music during agent-customer interaction, and adjusting based on detected emotional states. This dynamic approach enables personalization while managing complexity through rule-based adaptation rather than requiring complex real-time analysis of every interaction detail.
Solution Approach 2:
The patent applies preliminary action by pre-defining audio enhancement strategies for different call phases and customer segments. The system has pre-configured music playlists and enhancement parameters ready for different scenarios (e.g., on-hold phase, active call phase, different customer demographics), which are automatically selected based on the current call context. This preliminary preparation reduces real-time decision complexity while maintaining high personalization capability.
3Productivity
If only speech and silence are provided during customer-agent interaction, then the audio channel is simple and clear, but the ability to influence customer psychology and decision-making is limited
Solution Approach 1:
The patent applies local quality by introducing background music and sounds selectively to the customer's audio channel while keeping the agent's audio channel free of enhancements. This localized application ensures that the customer experiences enriched audio content for psychological influence, while the agent maintains clear, unobtruded speech communication. The selective local enhancement achieves improved service effectiveness without requiring complex multi-channel audio processing.
4Duration of action of stationary object
If audio enhancements are applied during the entire call duration, then the mood influence is continuous, but the natural flow of conversation and key moments may be disrupted
Solution Approach 1:
The patent implements periodic action by applying audio enhancements in specific phases and intervals rather than continuously. The system applies on-hold music during waiting periods, transitions to background music during active interaction phases, and adjusts or pauses enhancements during critical conversation moments such as problem resolution or customer satisfaction surveys. This periodic application maintains mood influence duration while preserving natural conversation flow during key interaction points.
Data Source
AI summary
Contact centers strive to provide a positive and productive customer-agent interaction to successfully resolve the issue for a call. While audio content, such as music or messages, on hold are commonplace, selecting audio enhancements to be inserted into, and concurrently with, the customer-agent provides the customer and/or agent with cues and motivations to promote the successful completion of the call. Cues may be provided to announce the arrival or departure of an agent, virtually take a customer from one location to another for a different portion of the interaction, add excitement and anticipation to an upcoming event by providing an audio experience foreshadowing of the actual event, calm frayed nerves, or other purpose.