基于WFST的电影音频场景识别

2016 International Conference on Audio, Language and Image Processing (ICALIP) Pub Date : 2016-07-01 DOI:10.1109/ICALIP.2016.7846543

Jichen Yang, Min Cai, Yanxiong Li, Hai Jin

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引用次数: 1

摘要

为了提高电影音频场景(MAS)的识别精度，本文提出了加权有限状态换能器(WFST)来识别MAS。首先介绍了WFST，其次介绍了如何构建WFST，然后分别利用FBANK、MFCC和PLPCC将WFST用于MAS识别。实验结果表明，WFST可以很好地识别MAS, FBANK特征的识别率优于MFCC和PLPCC，达到79.9%。

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Movie audio scene recognition based on WFST

In order to improve movie audio scene (MAS) recognition accuracy, weighted finite-state transducer (WFST) is proposed to recognize MAS in this paper. WFST is introduced firstly, how to construct WFST is introduced secondly, WFST is used to recognize MAS using FBANK, MFCC and PLPCC, separately. The experimental results on twenty MASs using the three features shows that WFST can recognize MAS well, FBANK feature performs better than MFCC and PLPCC, which can reach 79.9%.

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2016 International Conference on Audio, Language and Image Processing (ICALIP)

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