Transcription System for Semi-Spontaneous Estonian Speech

被引：2
|
作者：
Alumaee, Tanel [1 ]
机构：
[1] Tallinn Univ Technol, Inst Cybernet, EE-19086 Tallinn, Estonia
来源：
HUMAN LANGUAGE TECHNOLOGIES: THE BALTIC PERSPECTIVE | 2012年 / 247卷
关键词：
Estonian; speech recognition; compound words; RECOGNITION;
D O I：
10.3233/978-1-61499-133-5-10
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a speech-to-text system for semi-spontaneous Estonian speech. The system is trained on about 100 hours of manually transcribed speech and a 300M word text corpus. Compound words are split before building the language model and reconstructed from recognizer output using a hidden event N-gram model. We use a three pass transcription strategy with unsupervised speaker adaptation between individual passes. The system achieves a word error rate of 34.6% on conference speeches and 25.6% on radio talk shows.
引用
收藏
页码：10 / 17
页数：8
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