Architectural Design for Performance Optimization
For enterprise-level application scenarios, TTS Importer has a built-in intelligent load balancer and request batch processing module, which can stably handle 1500+ concurrent voice requests per second after stress testing. The technical implementation adopts a three-level caching strategy: memory caching of high-frequency requests, local database caching of historical records, and distributed Redis cluster handling of multi-node synchronization, which reduces the response time of secondary requests for the same content to 23ms.
A case study of an online education platform shows that in a 10,000-person live classroom scenario, the system ensures that 99.2% voice requests are returned within 800ms by dynamically adjusting the audio bit rate (16kbps-320kbps self-adaptation) and an intelligent preloading mechanism. The project document also provides Kubernetes deployment scheme to support horizontal scaling to cope with unexpected traffic, a feature that makes it the only reading TTS middleware certified by Azure.
This answer comes from the articleAzure TTS Importer: Integrating speech synthesis services into reading softwareThe
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