| 基于压缩感知的稳健性说话人识别 |
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| 引用本文： | 单进,芮贤义.基于压缩感知的稳健性说话人识别[J].电声技术,2011,35(2):61-63. |
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| 作者姓名： | 单进 芮贤义 |
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| 作者单位： | 单进,SHAN Jin(苏州技师学院,江苏,苏州,215009;苏州大学,江苏,苏州,215006);芮贤义,RUI Xianyi(苏州大学,江苏,苏州,215006) |
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| 摘 要： | 阐述了在噪声条件下,将基于压缩感知理论的丢失数据重建技术应用于说话人识别系统的系统前端.首先使用Mel滤波器组将带噪语音信号转换成Mel频谱,然后利用带噪MeI谱中可靠数据重建不可靠数据,最后从重建的Mel频谱中提取Mel倒谱特征参数用于说话人识别.稳健性实验结果表明,该方法能够提高在噪声环境下说话人系统的识别率.
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| 关 键 词： | 压缩感知 缺失数据重建 Mel频谱 说话人识别 |
Robust Speaker Recognition Based on the Compressive Sensing |
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| SHAN Jin,RUI Xianyi.Robust Speaker Recognition Based on the Compressive Sensing[J].Audio Engineering,2011,35(2):61-63. |
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| Authors: | SHAN Jin RUI Xianyi |
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| Affiliation: | 1.Suzhou Technical Institute,Suzhou Jiangsu 215009,China;2.Soochow University,Suzhou Jiangsu 215006,China) |
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| Abstract: | In this paper,the method of missing data imputation based on the emergent field of compressive sensing for the front end of a speaker recognition system in noisy conditions is investigated.Firstly,noisy speech signals are transformed into Mel spectrum by using Mel filtering.Then,unreliable spectral components are reconstructed given an incomplete set of reliable ones.Finally,speaker features with auditory model are extracted from reconstructed Mel-spectral data.Experimental results demonstrate that the method can improve the identification accuracy of speaker recognition in noisy environments. |
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| Keywords: | compressive sensing missing date imputation Mel spectrum speaker recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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