Voice Personalization for Machine Reading via Sender Identification
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Solution Overview
Problem
Machine reading technologies are impersonal and limited by a small set of available voices, lacking flexibility and intimacy in user interactions, particularly in situations where written communication is impractical.
Innovation Solution
Implementing a voice personalization system that allows users to select and authorize custom voice models for machine reading, enabling the use of personalized voices for various textual content, such as text messages, emails, and books, through a sender identification module, voice model module, and authorization module, which ensures secure and controlled usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a generic voice model is used for machine reading, then the system is simple and easy to operate, but the user experience is impersonal and lacks flexibility
Solution Approach 1:
The system segments the voice model functionality into separate components: a generic voice model for basic operation and personalized voice models for enhanced user experience. Each voice model operates independently, allowing the system to switch between them based on user needs without increasing overall complexity
Solution Approach 2:
An intermediary module is introduced to manage voice model selection and authorization. This mediator handles the complexity of voice personalization by abstracting the underlying mechanisms, allowing users to benefit from personalized voices without directly interacting with the complex voice synthesis technology
2Adaptability or versatility
If custom voice models are allowed for each sender, then user intimacy and personalization are improved, but system complexity and authorization requirements increase
Solution Approach 1:
The system implements self-service authorization where senders automatically grant permission for their voice to be used in text-to-speech conversion. The authorization is embedded in the message metadata, eliminating the need for manual user configuration and reducing operational complexity
Solution Approach 2:
Voice model authorization is performed in advance by the sender when creating their profile. This preliminary action stores the authorization status in the system, allowing rapid voice model selection without real-time authorization checks, thereby simplifying the user interaction
Data Source
AI summary
Systems and techniques of voice personalization for machine reading are described herein. A message with textual content may be received. A sender of the message may be identified. A voice model that corresponds to the sender may be identified. An audio representation of the textual content may be rendered using the voice model.