TTS Linguistic Analysis Component for Seamless Style Switching
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Solution Overview
Problem
Conventional text-to-speech (TTS) systems require significant computational resources and time to switch between different speech styles, as they need to unload and load style-specific linguistic analysis components and speech bases, making seamless style switching impossible.
Innovation Solution
A TTS system that includes a linguistic analysis component capable of dynamically processing style indications within the input text to generate phonetic transcriptions for multiple styles, allowing a single linguistic analysis component and speech base to produce speech in various styles without the need for component swapping, using techniques like unit selection and statistical modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional TTS systems use style-specific linguistic analysis components and speech bases for each speech style, then speech quality and style accuracy are improved, but system complexity and resource consumption increase significantly when switching between styles
Solution Approach 1:
The patent implements a universal linguistic analysis component that can process multiple speech styles through style indication parameters, eliminating the need for separate style-specific components. The single component dynamically adapts to different styles (e.g., neutral, joyful, didactic) by receiving style indications and adjusting its processing accordingly, thereby reducing system complexity while maintaining style accuracy.
Solution Approach 2:
The system employs dynamic style switching where the linguistic analysis component and speech base can be changed on-the-fly without complete reloading. Style parameters are adjusted dynamically during operation, allowing seamless transitions between speech styles while maintaining system stability and reducing resource expenditure.
2Adaptability or versatility
If conventional TTS systems load and unload style-specific components when switching speech styles, then speech style versatility is improved, but processing time and latency increase
Solution Approach 1:
The patent pre-loads multiple speech bases into memory before they are needed, so that when style switching is required, the system can immediately activate the appropriate pre-loaded base without incurring loading delays. This preliminary preparation eliminates the time penalty associated with component loading during style transitions.
Solution Approach 2:
The system introduces a style indication parameter as an intermediary that controls the linguistic analysis component's behavior without requiring component replacement. This mediator allows the same component to produce different speech styles by adjusting its processing based on the style indication, thereby avoiding the time-consuming process of unloading and loading different components.
3Adaptability or versatility
If conventional TTS systems employ multiple voice-specific components for different styles, then speech style diversity is improved, but computational resource expenditure increases
Solution Approach 1:
The patent implements a universal linguistic analysis component that serves multiple speech styles through style indication parameters, eliminating the need to maintain and process multiple separate style-specific components. This single component dynamically adapts to different styles (neutral, joyful, didactic, etc.), significantly reducing computational resource expenditure while preserving full style diversity.
Solution Approach 2:
The system merges multiple style-specific processing functions into a single linguistic analysis component that handles all styles through parameter adjustment. By combining what would traditionally require separate components into one unified processor, the system reduces the computational overhead associated with managing multiple independent components while maintaining the ability to generate diverse speech styles.
Data Source
AI summary
A text-to-speech (TTS) system includes components capable of supporting the generation of speech output in any of multiple styles, and may switch seamlessly from producing speech output in one style to producing speech output in another style. For example, a concatenative TTS system may include a speech base storing speech units associated with multiple speech styles, and a linguistic analysis component to generate a phonetic transcription specifying speech output in any of multiple styles. Text input may include a style indication associated with a particular segment of the input text. The linguistic analysis component may invoke encoded rules and/or components based upon the style indication, and generate a phonetic transcription specifying a speech style, which may be processed to generate output speech.


