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基于MVQM说话人识别系统的DSP实现 被引量:2

Realizing Speaker Recognition System Based on MVQM with DSP
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摘要 文章运用TMS320C5416实现了说话人自动识别系统。提出了一种新的说话人识别方法。该方法综合了VQ和GMM的优点。通过用VQ误差尺度取代传统GMM的输出概率函数,减少了建模时对训练数据量的要求,提高了识别速度。实验结果证明该方法是有效的。 In this paper, TMS320C541 was used to realize auto speaker recognition system. For the integration of merits of VQ and GMM, a new method of speaker recognition was presented. When VQ error scale was adopted instead of the probability output by tradition GMM, data capacity request was reduced during modeling and reached a high rate recognition. The result also showed that the method is effective to speaker recognition.
作者 谢建平
出处 《微电子学与计算机》 CSCD 北大核心 2006年第6期220-222,226,共4页 Microelectronics & Computer
关键词 说话人识别 矢量量化 混合高斯模型 数字信号处理器 Speaker recognition, VQ, Gaussian mixture model, Digital signal processor
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参考文献6

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同被引文献13

  • 1王永琦,邓琛,杨洋.语音增强用于抗噪声的汉语说话人识别[J].微电子学与计算机,2006,23(2):166-168. 被引量:4
  • 2姚天任 孙洪.现代数字信号处理[M].武汉:华中科技大学出版社,2001..
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  • 7吕幼新,张明友.信号与系统[M].北京:电子工业出版社,2007.
  • 8贾可亮,樊孝忠,许进忠.基于KNN的汉语问句分类[J].微电子学与计算机,2008,25(1):156-158. 被引量:13
  • 9岳喜才,伍晓宇,郑崇勋.用神经阵列网络进行文本无关的说话人识别[J].声学学报,2000,25(3):230-234. 被引量:14
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