Open AccessAn agricultural audio retrieval method based on inverted index of silence word
Author(s) -
Yue Song,
Shiquan Tao,
Yuanhang Ren,
Xinliang Liu,
Wanlin Gao
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/5/052034
Subject(s) - computer science , information retrieval , index (typography) , precision and recall , inverted index , document retrieval , visual word , word (group theory) , recall , multimedia , speech recognition , artificial intelligence , image retrieval , search engine indexing , world wide web , image (mathematics) , mathematics , linguistics , philosophy , geometry
With the popularization of Internet and multimedia technology, a large amount of agriculture-related audio information is rapidly accumulated and widely used. The method of keyword matching retrieval for text data content describing audio files can no longer meet the need of agricultural audio files retrieval in terms of retrieval efficiency and content depth. In view of the above problems in agricultural audio retrieval technology, this paper proposes an audio retrieval method based on inverted index of silence word. In this method, a new hybrid retrieval model combining representation retrieval and semantic retrieval is designed and used. The experimental results show that the recall rate and precision rate of this method are above 99.5%, and the average retrieval time is less than 1s. Therefore, this method greatly improves the efficiency and the accuracy of the audio information retrieval, and can be used for rapid retrieval of agricultural audio.