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feat: Implement performance optimizations in speaking_route.py
- Added asynchronous processing for post-assessment tasks to reduce processing time. - Introduced shared instances for G2P and ThreadPoolExecutor to improve resource management. - Implemented caching for G2P results to avoid redundant computations. - Enhanced IPA assessment processing with parallel execution for character analysis, phoneme scoring, and focus phonemes analysis. - Created a performance testing script to validate optimizations and measure improvements. - Documented optimization strategies and performance metrics in PERFORMANCE_OPTIMIZATION.md.c9fd875