Dynamic TTS Rate Control via User Speaking Speed Detection
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Solution Overview
Problem
Current voice assistants maintain a uniformly set text-to-speech (TTS) rate, failing to adapt to individual users' speaking rates, which can lead to suboptimal user experience and understanding, especially for users with different speaking habits or those unfamiliar with voice assistants.
Innovation Solution
An electronic device with a processor that receives a voice signal, calculates the speaking rate, and adjusts the TTS rate accordingly, allowing for dynamic conversion of text to speech based on the user's speaking rate, thereby improving the intimacy and clarity of the interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a uniformly set TTS rate is used for all users, then the system is simple and easy to implement, but the user experience deteriorates for users with different speaking rates
Solution Approach 1:
The TTS rate is changed from a static uniform value to a dynamic value that automatically adjusts based on the user's speaking rate. The system calculates the user's speaking rate in real-time and adapts the TTS rate accordingly, making the system flexible and adaptive to individual users while maintaining ease of operation.
Solution Approach 2:
The system introduces feedback by calculating the user's speaking rate from their voice input and using this information to adjust the TTS rate. This closed-loop feedback mechanism allows the system to adapt to user preferences automatically, improving user experience without requiring manual configuration.
2Adaptability or versatility
If the TTS rate is adjusted to match each user's speaking rate, then user experience and understanding improve, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically calculating the user's speaking rate and adjusting the TTS rate without requiring external configuration or complex control mechanisms. The voice assistant itself gathers the necessary information from user interaction and makes the adjustments autonomously, minimizing system complexity.
Solution Approach 2:
The speaking rate calculation mechanism serves multiple functions: it not only determines the TTS rate but also provides insights into user behavior patterns. This multi-functionality reduces the need for separate systems and components, thereby limiting the increase in overall system complexity.
3Productivity
If the system calculates and adapts TTS rate for each user, then communication effectiveness improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary action by calculating the user's speaking rate during the initial interaction phases and using this information for subsequent TTS operations. This approach avoids repeated calculations for each TTS operation, reducing computational overhead and time loss while maintaining communication effectiveness.
Data Source
AI summary
Disclosed are an electronic device and a method of controlling a text-to-speech (TTS) rate. An electronic device may include a processor, and a memory configured to store instructions to be executed by the processor. The processor may receive a voice signal of a user. The processor may calculate a speaking rate of the voice signal based on the voice signal. The processor may generate an output text to be output to the user based on the voice signal. The processor may determine a TTS rate of the output text based on the speaking rate. The processor may convert the output text into voice data based on the TTS rate and output the voice data.