IMPACT OF DYNAMIC MODEL ADAPTATION BEYOND SPEECH RECOGNITION

被引：0
|
作者：
Batista, Fernando [1 ]
Amaral, Rui [1 ]
Trancoso, Isabel [1 ]
Mamede, Nuno [1 ]
机构：
[1] INESC ID Lisboa, L2F Spoken Language Syst Lab, P-1000029 Lisbon, Portugal
来源：
2008 IEEE WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGY: SLT 2008, PROCEEDINGS | 2008年
关键词：
Speech processing; Speech intelligibility; Natural language interfaces; Language Dynamics; Unsupervised learning;
D O I：
10.1109/SLT.2008.4777894
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The application of speech recognition to live subtitling of Broadcast News has motivated the adaptation of the lexical and language models of the recognizer on a daily basis with text material retrieved from online newspapers. This paper studies the impact of this adaptation on two of the blocks following the speech recognition module: capitalization and topic indexation. We describe and evaluate different adaptation approaches that try to explore the language dynamics.
引用
收藏
页码：277 / 280
页数：4
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