Process Analysis of Text-to-speech System Based on Speech Database
Text to speech is a hotspot in the study of Chinese language information processing and a key technology to implement human-machine communication by speech. The whole process of Chinese language text to speech is preliminarily analyzed and studied,and the transformation method and realization process of text to speech based on speech database are put forward. The creation of speech database is concretely introduced,and the content and technical difficult points of some stages,such as text inputting,text words dividing,text normalizing,pronunciation labeling,prosody handling and speech synthesizing are analyzed.
Production planning is one of the important activities in the company, each of its activities involve decision making. To be able to meet the ::: demand of its customers continuously, companies must have good planning. Therefore, this paper discusses the application of Fuzzy ::: inference system Tsukamoto for decision making in production planning at the company's crude palm oil [CPO). The purpose of this ::: research is to assist the production manager to determine the optimal number of CPO production, so that it can more effectively and ::: efficiently. Data on production, inventory and demand in 2014 as inputs. There are three steps to solve the problem using FIS Tsukamoto ::: i.e. Fuzzification, Inference and Defuzzification. The result obtained is the number of optimal inventory and production as well as higher ::: profit