| 基于竞争网络的语音激活检测研究 |
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| 引用本文： | 柳燕,鲍长春.基于竞争网络的语音激活检测研究[J].信号处理,2006,22(1):57-60. |
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| 作者姓名： | 柳燕 鲍长春 |
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| 作者单位： | 北京工业大学语音与音频信号处理研究室,北京,100022 |
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| 基金项目： | 中国科学院资助项目;北京市自然科学基金;北京市教委科技发展计划项目 |
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| 摘 要： | 本文提出了一种新的语音激活检测算法,这种方法基于竞争神经网络,主要应用了自组织特征映射网络并结合学习向量量化算法进行实现,并与其它神经网络算法进行了比较。该算法在多种噪声背景下具有较强的鲁棒性,仿真结果表明,这种基于竞争神经网络的算法优于ITU—T G．729B建议的算法。
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| 关 键 词： | 语音激活检测 自组织特征映射网络 学习向量量化 竞争网络 神经网络 |
| 修稿时间： | 2004年9月20日 |
A New Voice Activity Detection Algorithm Based On Competitive Networks |
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| Liu Yan,Bao Changchun.A New Voice Activity Detection Algorithm Based On Competitive Networks[J].Signal Processing,2006,22(1):57-60. |
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| Authors: | Liu Yan Bao Changchun |
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| Abstract: | A new Voice Activity Detection (VAD) algorithm is proposed in this paper. This algorithm is based on the competitive neural networks, especially the Self-organized Feature Mapping (SOM) and the Learning Vector Quantization ( LVQ) network. This algorithm is compared with other neural network algorithms. This algorithm is tested in various noise backgrounds and it is proved to be a robust algorithm under noise environments. The simulation results show that this VAD algorithm which based on the competitive networks has a significant improvement over traditional methods such as ITU - T G. 729B VAD. |
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| Keywords: | voice activity detection Self-organized feature mapping learning vector quantization competitive networks |
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