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Mandarin spoken document retrieval based on syllable lattice matching

机译:基于音节格匹配的普通话语音文档检索

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摘要

Spoken document retrieval (SDR) has been extensively studied in recent years because of its potential use in navigating large multi-media collections in the near future. Considering the characteristics and monosyllabic structure of the Chinese language, a syllable-based framework for retrieving Mandarin spoken documents using speech queries has been investigated. This paper presents a new syllable-based approach that is based on matching the whole syllable lattice directly instead of using the syllable and syllable-pair information extracted from the syllable lattice. The experimental results show that the retrieval performance can be improved significantly.
机译:语音文档检索(SDR)近年来已被广泛研究,因为它在不久的将来有可能用于浏览大型多媒体馆藏。考虑到中文的特点和单音节结构,已经研究了一种基于音节的使用语音查询检索普通话语音文档的框架。本文提出了一种新的基于音节的方法,该方法基于直接匹配整个音节格,而不是使用从音节格中提取的音节和音节对信息。实验结果表明,该算法可以显着提高检索性能。

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