Dynamic Voice Modeling for Customized Audio Delivery
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Solution Overview
Problem
Existing audio content delivery systems, such as IVR and pre-recorded statements, often result in a poor user experience due to monotony and mismatch between the audio characteristics and the user's environment.
Innovation Solution
A system that generates on-demand curated audio content by analyzing real-time insights from the communication between an operator and a client, such as dialect, pace of speech, and ambient noise, and customizes the audio to match the operator's voice and the client's environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pre-recorded audio content is used for mandated information, then information delivery is efficient and standardized, but user experience deteriorates due to monotony and mismatch with user environment
Solution Approach 1:
The patent applies dynamics by transitioning from static pre-recorded audio to dynamic generated audio that adapts in real-time. The system generates audio content with varying characteristics (voice type, speed, volume, background noise) based on real-time analysis of the operator's speech and the user's environment, making the audio delivery flexible and context-aware while maintaining efficiency
Solution Approach 2:
The patent implements parameter changes by modifying multiple audio parameters including voice type, audio speed, cadence, volume level, and background noise characteristics. These parameters are dynamically adjusted based on real-time insights from the operator's speech analysis and user environment detection, resolving the contradiction between standardized delivery and personalized experience
2Ease of operation
If operator's real-time voice characteristics are used, then user experience improves through personalization, but information delivery consistency deteriorates
Solution Approach 1:
The system controlledly changes audio parameters (voice type, speed, volume, background noise) based on real-time conditions while maintaining the core information content. This allows personalization that improves user experience while the structured approach to parameter adjustment ensures that mandated information remains consistent and complete
Solution Approach 2:
The system uses real-time feedback from analyzing the operator's speech characteristics and user environment to dynamically adjust audio generation parameters. This feedback loop enables the system to maintain consistency in information delivery while adapting to real-time conditions for improved user experience
3Adaptability or versatility
If audio content is customized in real-time, then adaptability to user environment improves, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary audio generation system that sits between the standardized mandated information and the user's environment. This intermediary analyzes real-time conditions (operator speech characteristics, user environment) and translates them into appropriate audio parameters, enabling adaptability without requiring direct complex interactions between all system components
Solution Approach 2:
The system performs preliminary analysis of the operator's speech characteristics and user environment before generating the customized audio content. This preliminary action allows the system to pre-determine appropriate audio parameters based on real-time insights, reducing the complexity of real-time decision-making during audio delivery
Data Source
AI summary
The present embodiments relate to on demand generation of curated audio content. Responsive to initiation of an electronic communication by a client, audio relating to a client speaking to the operator can be processed to derive a series of insights relating to features of the audio. Previously recorded audio relating to the operator can be combined with a text-based script to generate audio content. The audio content can be modified using the series of derived insights. The modified audio content can include a series of disclaimers that are played back to the client. Generation of the modified audio content can be dynamically generated responsive to detecting a trigger that allows for on-demand generation of the modified audio content.