Language Model Based Non-speech Recognition Method

被引：0
|
作者：
Zhang, Qinglin [1 ]
Chen, Jianfeng [1 ]
Bai, Jisheng [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian, Peoples R China
来源：
CONFERENCE PROCEEDINGS OF 2019 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (IEEE ICSPCC 2019) | 2019年
关键词：
acoustic scene analysis; non-speech recognition; speech recognition; security monitoring; language model;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Language model is an essential technology in natural language processing systems. Non-speeches are supposed to have some similarities to speeches and other kinds of natural languages which means that language model can be used in the field of non-speech recognition to improve the accuracy of it. In this paper, we define the semantics, grammar and context and set up a new recognition method for non-speeches by learning the order and logical relationships of different non-speeches in certain scenes to improve the recognition results. Applying this theory, the relationship between different non-speeches in certain scenes will be explored and applied to help the recognition systems, and the research on non-speeches will shift from single sound segments to the entire scenes as well as sound elements of them.
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页数：6
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