| 基于神经网络的5种音频分类 |
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| 引用本文： | 刘乔辉.基于神经网络的5种音频分类[J].中国西部科技,2008,7(9):16-18. |
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| 作者姓名： | 刘乔辉 |
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| 作者单位： | 广东轻工职业技术学院,广东,广州,510300 |
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| 摘 要： | 本文将音频信号的MFCC参数作为特征向量，并使用前馈型神经网络对语音、音乐、语音＋音乐、环境音响、静音5类音频进行分类，取得了平均92％的正确率。
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| 关 键 词： | 神经网络 音频 分类 |
| 修稿时间： | 2008年2月28日 |
5 types Audio Classification Based on Nueron Networks |
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| LIU Qiao-hui.5 types Audio Classification Based on Nueron Networks[J].Science and Technology of West China,2008,7(9):16-18. |
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| Authors: | LIU Qiao-hui |
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| Institution: | LIU Qiao-hui (Guangdong Industry Technical College,Guanghzhou 510500,China) |
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| Abstract: | In this paper,MFCC is abstracted as feature vectors of the audio signals,and the Nueron Networks is chosen to classify five audio documents：speech, music, speech＋music, background and silence. The experimental results show that Nueron Networks is excellent for classification of audio documents,and the average classification accuracy is up to 92%. |
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| Keywords: | Neural Networks Audio Categories |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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