Recovering Punctuation Marks for Automatic Speech Recognition

被引：0
|
作者：
Batista, Fernando [1 ]
Caseiro, Diamantino [1 ]
Mamede, Nuno [1 ]
Trancoso, Isabel [1 ]
机构：
[1] INESC ID Lisboa, Lab Sistemas Lingua Falada, P-1000029 Lisbon, Portugal
来源：
INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4 | 2007年
关键词：
rich transcription; punctuation recovery; sentence boundary detection; maximum entropy;
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 paper shows results of recovering punctuation over speech transcriptions for a Portuguese broadcast news corpus. The approach is based on maximum entropy models and uses word, part-of-speech, time and speaker information. The contribution of each type of feature is analyzed individually. Separate results for each focus condition are given, making it possible to analyze the differences of performance between planned and spontaneous speech.
引用
收藏
页码：1977 / 1980
页数：4
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