Sender-Responsive Text-to-Speech Voice Model Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current text-to-speech (TTS) technologies produce synthesized speech that sounds artificial and lacks natural human-like prosody, leading to user confusion and disappointment, with solutions involving extensive voice data collection and sophisticated algorithms being time-consuming and costly.
Innovation Solution
A method that receives and processes text inputs responsive to distinguishing characteristics of the sender, such as acoustic and demographic information, to produce synthesized speech that mimics the sender's voice, using a text-to-speech system that stores and adapts voice models based on previous communication sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If more recorded voice data is collected and more sophisticated TTS processing algorithms are developed, then TTS quality is improved, but time and cost increase significantly
Solution Approach 1:
The system performs preliminary voice characteristic analysis during initial communication sessions with the sender, storing distinguishing characteristics (acoustic features, pitch, tone, prosody) in advance. When text input is received, the pre-stored voice characteristics are immediately applied to generate natural-sounding synthesized speech, eliminating the need for time-consuming data collection and algorithm development while maintaining high TTS quality
Solution Approach 2:
The system creates simplified voice models by copying and storing key distinguishing characteristics of the sender's voice during initial interactions. These copied voice characteristics are then reused for subsequent TTS operations, achieving natural speech synthesis without requiring extensive voice data collection or complex algorithm development for each new application
2Manufacturing precision
If more recorded voice data is collected and more sophisticated TTS processing algorithms are developed, then TTS quality is improved, but cost increases significantly
Solution Approach 1:
The system creates simplified voice models by copying and storing key distinguishing characteristics of the sender's voice during initial interactions. These copied voice characteristics are then reused for subsequent TTS operations, achieving natural speech synthesis without requiring extensive voice data collection or complex algorithm development for each new application
Solution Approach 2:
The system modifies TTS output by adjusting parameters such as pitch, tone, and prosodic characteristics based on pre-analyzed voice data from the sender. By changing these acoustic parameters rather than using complex algorithms, the system achieves natural-sounding speech at lower computational and financial cost
3Device complexity
If conventional TTS systems are used, then system complexity is reduced, but synthesized speech sounds artificial and lacks natural prosody
Solution Approach 1:
The system performs preliminary voice characteristic analysis during initial communication sessions with the sender, storing distinguishing characteristics (acoustic features, pitch, tone, prosody) in advance. When text input is received, the pre-stored voice characteristics are immediately applied to generate natural-sounding synthesized speech, eliminating the need for time-consuming data collection and algorithm development while maintaining high TTS quality
Solution Approach 2:
The system incorporates feedback mechanisms that analyze the sender's voice characteristics during communication sessions and use this information to adaptively adjust TTS parameters. This feedback loop enables the system to improve prosodic characteristics and naturalness of synthesized speech without requiring complex algorithms or extensive data collection
Data Source
AI summary
A method of speech synthesis including receiving a text input sent by a sender, processing the text input responsive to at least one distinguishing characteristic of the sender to produce synthesized speech that is representative of a voice of the sender, and communicating the synthesized speech to a recipient user of the system.