ASR FOR LOW-RESOURCED LANGUAGES: BUILDING A PHONETICALLY BALANCED ROMANIAN SPEECH CORPUS

被引：0
|
作者：
Stanescu , Miruna [1 ]
Cucu, Horia [1 ]
Buzo, Andi [1 ]
Burileanu, Corneliu [1 ]
机构：
[1] Univ Politehn Bucuresti, Bucharest, Romania
来源：
2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2012年
关键词：
ASR; corpora acquisition; corpora processing; diacritics restoration;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The construction of automatic speech recognition (ASR) systems is fundamentally dependent on the speech corpus used to train the acoustic models. The speech corpus should be phonetically balanced to assure that the acoustic models are properly trained. This paper presents the design and development of the first phonetically balanced Romanian speech corpus. It describes all the language processing steps taken in order to obtain a proper set of phrases, discusses some important aspects regarding Romanian phonetics and emphasizes the phrase selection mechanism.
引用
收藏
页码：2060 / 2064
页数：5
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