| 模糊聚类在自适应矢量量化码本训练中的应用 |
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| 引用本文： | 张俐,李晶皎,顾树生.模糊聚类在自适应矢量量化码本训练中的应用[J].计算机研究与发展,2000,37(6):710-713. |
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| 作者姓名： | 张俐 李晶皎 顾树生 |
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| 作者单位： | 东北大学信息与工程学院,沈阳,110006 |
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| 基金项目： | 国家自然科学基金!69683004，中国博士后基金 |
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| 摘 要： | 自适应矢量量化在语音处理中有广泛的应用，提出了一种基于ＳＦＣＭ算法的自适应矢量量化码本的训练方法，其特点是通过模糊聚类方法，重新调整训练样本与码字之间的隶属度，达到最小编码失真，使码本更适合新说话人，且计算简单，方法的实验结果表明，可以使编码平均失真下降。
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| 关 键 词： | 矢量量化 SFCM算法 码本训练 语音信号处理 |
APPLICATION OF FUZZY CLUSTERING TO CODE TRAINING OF SELF-ADAPTATION VECTOR QUANTIZATION |
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| ZHANG Li,LI Jing-Jiao,GU Shu-Sheng.APPLICATION OF FUZZY CLUSTERING TO CODE TRAINING OF SELF-ADAPTATION VECTOR QUANTIZATION[J].Journal of Computer Research and Development,2000,37(6):710-713. |
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| Authors: | ZHANG Li LI Jing-Jiao GU Shu-Sheng |
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| Abstract: | In speech signal processing, the self-adaptation vector quantization is widely used. A code training method of self-adaptation vector quantization based on SFCM algorithm is proposed. Its feature is that the membership between training samples and codebook is readjusted and the least coding distortion is reached by the fuzzy clustering method. The codebook is more adaptable to new speaker. The calculation of this method is simple. The experiment resu1t of this method is that the coding average distortion is low. |
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| Keywords: | vector quantization self-adaptation SFCM algorithm |
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