FDA方法在交通智能语音播报系统中的应用

Application of FDA Method in Traffic Intelligent Voice Broadcasting System

提出将一种泛函数据分析(Functional Data Analysis,FDA)方法应用到交通智能语音播报领域的基本思路。利用建立的FDA基频曲线模型合成语音,将这种模型应用到交通智能语音播报系统中,从而实现交通智能语音播报功能。随着信息社会的快速发展,语音合成技术在公共交通、服务大厅等领域的语音播报系统中得到广泛的推广和应用,如车站查询系统、计费系统、车辆导航系统、银行客户营业厅排队叫号系统等。

The basic idea of applying a functional data analysis(Functional Data Analysis,FDA)method to the field of traffic intelligent speech broadcasting is proposed.The FDA based fundamental frequency curve model is used to synthesize speech.This model is applied to traffic intelligent voice broadcast system,so as to realize traffic intelligent voice broadcasting function.With the rapid development of information society,speech synthesis technology in the field of public transport,service hall and other broadcast is widely used in the system,such as the station query system,billing system,vehicle navigation system,the bank customer business hall queuing system etc..