Audio Retrieval Based on Chinese Keyword Search in Relational Databases

DOI

10.2991/iccia.2012.153How to use a DOI?

Keywords

Relational database, Audio retrieval, Post-production, Chinese Keyword Search, Ranking strategy

Abstract

In this paper, we propose a new method based on Chinese keyword search to select the WAV or MP3 files in audio post-production. First, we listen to each file and label it with Chinese characters, and then classify and store the files in a relational database system. Then, we use the techniques of Chinese keyword search to match query characters and the tuple characters quickly, and to compute similarities between the query and candidate tuples. For the characteristics of Chinese keyword search, we present a ranking strategy and an algorithm to refine the candidate tuples resulting from the first round matching, and finally get top-N results of audio files. The experimental results show that our method is efficient and effective.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Boyan Zhu
AU  - Guang Liu
AU  - Liang Zhu
PY  - 2014/05
DA  - 2014/05
TI  - Audio Retrieval Based on Chinese Keyword Search in Relational Databases
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 634
EP  - 637
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.153
DO  - 10.2991/iccia.2012.153
ID  - Zhu2014/05
ER  -