Speech Synthesis Switching Between Online and Offline Systems
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Solution Overview
Problem
Current speech synthesis technologies face challenges in providing a stable and natural speech synthesis service, with online synthesis being data-intensive and prone to network errors, while offline synthesis lacks naturalness and quality.
Innovation Solution
A method and apparatus that switch between online and offline speech synthesis systems based on network availability, sending text to online synthesis when connected and switching to offline synthesis if errors occur or the network disconnects, combining the advantages of both methods to ensure smooth and natural speech synthesis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If online speech synthesis is used, then speech naturalness is improved, but network stability and data consumption become problematic
Solution Approach 1:
The patent combines online and offline speech synthesis systems into a unified architecture. The client device maintains both online synthesis capabilities (for high naturalness) and offline synthesis capabilities (for network independence). The system dynamically switches between or combines results from both systems, merging their respective advantages to achieve both natural speech output and reliable operation regardless of network conditions.
Solution Approach 2:
The system changes operational parameters by detecting network status and dynamically adjusting which synthesis system to use. When network conditions are good, it uses online synthesis for better naturalness; when network conditions deteriorate, it switches to offline synthesis to maintain service reliability. This parameter change resolves the contradiction by adapting the system behavior to current conditions.
2Manufacturing precision
If online speech synthesis is used, then speech quality is improved, but service continuity deteriorates under network errors
Solution Approach 1:
The system prepares offline speech synthesis capabilities in advance as a backup mechanism. By pre-installing offline synthesis engines and models on client devices, the system creates a cushion against potential network failures. When network errors occur, this pre-prepared offline capability immediately takes over, ensuring service continuity without interruption to the user.
Solution Approach 2:
The patent introduces a network status detection and switching mechanism as an intermediary between the speech synthesis request and the actual synthesis execution. This intermediary monitors network conditions and intelligently routes requests to either online or offline synthesis systems, mediating between the high-quality online service and the reliable offline service to ensure continuous operation.
3Reliability
If offline speech synthesis is used, then service stability is improved, but speech naturalness deteriorates
Solution Approach 1:
The system merges offline and online synthesis approaches by using offline synthesis as a base layer for service stability while incorporating online synthesis results when available to enhance naturalness. The architecture allows results from both systems to be combined or selectively used, achieving a balance where offline provides reliability and online provides quality enhancement.
Solution Approach 2:
The system dynamically adjusts the mix of offline and online synthesis based on real-time network conditions. Rather than statically choosing one approach, the system continuously adapts its composition, using more online synthesis when network conditions permit (improving naturalness) and more offline synthesis when network conditions are poor (maintaining stability), creating a dynamic balance between the two opposing qualities.
4Device complexity
If separate online or offline speech synthesis systems are used, then system complexity is reduced, but user experience deteriorates
Solution Approach 1:
The speech synthesis system performs self-service by automatically detecting network status and selecting the appropriate synthesis mode without user intervention. The system monitors its own operational environment and autonomously switches between online and offline modes, managing its own complexity internally while presenting a simple, consistent interface to the user. This self-management resolves the contradiction by hiding system complexity from the user.
Data Source
AI summary
The present disclosure provides a speech synthesis method and apparatus. The speech synthesis method includes: processing a text, to obtain a to-be-synthesized text; if a network connection exists, sending the to-be-synthesized text to an online speech synthesis system for speech synthesis; and if a fault occurs in the online speech synthesis system in a process in which the online speech synthesis system performs speech synthesis or the network connection is disrupted in an actual use process, sending a text for which the online speech synthesis system has not completed speech synthesis to an offline speech synthesis system for speech synthesis.