Voice Analysis for User State Detection
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Solution Overview
Problem
Current content consumption devices lack the ability to effectively determine and respond to users' physical and emotional characteristics through voice inputs, limiting their capacity to provide timely and relevant audio or visual content.
Innovation Solution
The system employs voice processing algorithms and signal processing profiles to analyze voice inputs, determining physical and emotional characteristics such as sore throats or emotional states, and uses these determinations to select and present targeted content to users, integrating with behavioral and contextual targeting criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If voice processing algorithms and signal processing profiles are implemented to determine physical and emotional characteristics, then content relevance and timeliness are improved, but device complexity increases
Solution Approach 1:
The system segments the complex voice analysis task into distinct components: voice data acquisition, signal processing profile application, algorithm-based characteristic determination, and content selection. Each component handles a specific aspect of the overall process, making the system more manageable and implementable despite the complexity of the full solution.
2Productivity
If voice input analysis is used to determine user characteristics, then user engagement is improved, but processing time and computational resources increase
Solution Approach 1:
Signal processing profiles are applied to voice data in real-time as it is captured, performing preliminary analysis and feature extraction before the main algorithmic processing occurs. This preliminary action reduces the computational burden and time required for subsequent characteristic determination.
Data Source
AI summary
Systems, methods, and computer-readable media are disclosed for voice-based determination of physical and emotional characteristics of users. Example methods may include determining first voice data, wherein the first voice data is generated by a user, determining a first real-time user status of the user using the first voice data, generating a first data tag indicative of the first real-time user status, determining first audio content for presentation at a speaker device using the first data tag and the first voice data, and causing presentation of the first audio content via a speaker of the speaker device.