Statistical Phonetic Analysis of the Romanian Language for Speech Recognition and Synthesis Tasks

被引：0

作者：

Stanescu, Miruna ^{[1
]}

Buzo, Andi ^{[1
]}

Cucu, Horia ^{[1
]}

Burileanu, Corneliu ^{[1
]}

机构：

[1] Univ Politehn Bucuresti, Splaiul Independentei 313, Bucharest, Romania

来源：

PROCEEDINGS ELMAR-2012 | 2012年

关键词：

Spoken language technology; Text-to-speech; Automatic speech recognition; Phonetic event;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article provides a statistical phonetic analysis based on the largest Romanian text corpus collected so far for research purposes. Several types of phonetic events are analyzed: phones, diphones, triphones, and phone clusters based on the general classification of phones in the Romanian language. Some interesting conclusions are drawn, such as the fact that less than half the diphones cover 99% of the whole text. The article also discusses some usages of these phonetic statistics for spoken language technology tasks.

引用

页码：219 / 222

页数：4

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