| MFCC特征改进算法在语音识别中的应用 |
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| 引用本文： | 俸云,景新幸,叶懋.MFCC特征改进算法在语音识别中的应用[J].计算机工程与科学,2009,31(12). |
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| 作者姓名： | 俸云 景新幸 叶懋 |
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| 作者单位： | 桂林电子科技大学信息与通信学院,广西,桂林,541004 |
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| 摘 要： | 本文的目的是阐明一种Mel频率倒谱参数特征的改进算法。该算法是通过线性预测的方法从语音信号中提取出残差相位,同时将残差相位与传统的MFCC相结合,并应用到语音识别系统中。该改进算法比传统的MFCC算法具有更好的识别率。
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| 关 键 词： | 语音识别 Mel倒谱系数 残差相位 线性预测 |
Improving the MFCC Features for Speech Recognition |
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| Abstract: | An improved extraction algorithm for the Mel frequency cepstral coefficient(MFCC) feature is presented.The residual phase is derived from the speech signals by a linear prediction analysis,and the residual phase and the MFCC features are combined. The experiments show that the proposed algorithm can effectively improve the recognition rate. |
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| Keywords: | speech recognition Mel frequency cepstral coefficient(MFCC) residual phase linear prediction |
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