Example-based query generation for spontaneous speech

H. Murao, Nobuo Kawaguchi, S. Matsubara, Y. Inagaki
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引用次数: 10

Abstract

This paper proposes a new query generation method that is based on examples of human-to-human dialogue. Along with modeling the information flow in dialogue, a system for information retrieval in-car has been designed. The system refers to the dialogue corpus to find an example that is similar to input speech, and makes a query from the example. We also give the experimental results to show the effectiveness of this method.
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基于示例的自发语音查询生成
本文提出了一种基于人对人对话实例的查询生成方法。在对对话信息流建模的基础上,设计了车载信息检索系统。系统参考对话语料库查找与输入语音相似的示例,并从示例中进行查询。实验结果表明了该方法的有效性。
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Example-based query generation for spontaneous speech Multilingual acoustic models for the recognition of non-native speech A comparative study of model-based adaptation techniques for a compact speech recognizer Trend tying in the segmental-feature HMM Estimated rank pruning and Java-based speech recognition
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