| 说话人识别算法的研究 |
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| 引用本文： | 郭春霞. 说话人识别算法的研究[J]. 西安邮电学院学报, 2010, 15(5): 104-106,119 |
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| 作者姓名： | 郭春霞 |
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| 作者单位： | 西安邮电学院通信与信息工程学院,陕西西安710121 |
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| 摘 要： | 针对说话人识别问题,基于概率神经网络PNN,实验比较MFCC,ΔMFCC+MFCC分别与PNN相结合时的识别率。仿真结果表明,在文本有关情况下,当说话人说话内容为0～9的发音时,ΔMFCC+MFCC优于MFCC,使用PNN算法的识别率能够满足说话人识别的实际要求。
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| 关 键 词： | 说话人识别 概率神经网络 特征提取 Mel频率倒谱系数 差分MFCC |
On the speaker recognition algorithm |
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| GUO Chun-xia. On the speaker recognition algorithm[J]. Journal of Xi'an Institute of Posts and Telecommunications, 2010, 15(5): 104-106,119 |
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| Authors: | GUO Chun-xia |
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| Affiliation: | GUO Chun-xia(School of Communication and Information Engineering,Xi＇an University of Posts and Telecommunications,Xi＇an 710121,China) |
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| Abstract: | Based on PNN,experiments are setup to compare the speaker recognition rates of MFCC and △ MFCC ＋ MFCC.Simulating results show that,for a speaker,in textdependent circumstances,△ MFCC ＋ MFCC is better than MFCC when the content of speech is 0 to 9;and upto the recognition rate,the algorithm based on PNN can meet the practical requirements for speaker recognition. |
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| Keywords: | speaker identification PNN feature extraction MFCC difference MFCC |
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