Optimized Move Toward to Voice Translation

Abstract

Current voice conversion tools and services use natural language understanding and natural language processing to change words. However, these parsing methods focus more on capturing keywords and translating them, completely neglecting the significant quantity of processing time concerned. In this paper, we are suggesting technique that can optimize the processing time thereby increasing the throughput of voice conversion services. Techniques like template matching, indexing frequently used words using likelihood search and session-based cache can considerably enhance handing out times. More so, these factors become all the more important when we need to achieve actual-time conversion on computers, movable handsets or laptops
Key Words: Conversion, language, Template matching, Natural Processing Language,Spinx