2002 年：Torres-Carrasquillo 提出了移位差分倒谱特征（Shifted Delta Cepstra, SDC），并成功运用到GMM系统（Torres-Carrasquillo, Singer and Kohle...
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2002 年：Torres-Carrasquillo 提出了移位差分倒谱特征（Shifted Delta Cepstra, SDC），并成功运用到GMM系统（Torres-Carrasquillo, Singer and Kohle...
基于2个网页-相关网页
移位差分倒谱特征 Shifted Delta Cepstra
Finally, the ameliorative speech endpoint detection algorithm adopted in this article is proposed, including:One, endpoint detection base on cepstrum characteristic (cepstrum distance) is executed with the speech signal given, and save the information into cache memory.
最后是本文提出的改进的新的语音端点检测算法的研究,包括:1.对给定的语音信号首先进行基于倒谱特征的(倒谱距离的)端点检测,并把信息进行缓存。
参考来源 - 基于倒谱特征和浊音特性的语音端点检测方法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
可以求出语音信号的LPC倒谱特征向量，该特征向量在语音信号分析中得到了广泛的应用。
Voice signal can be obtained by LPCCEP eigenvector, the eigenvector of the voice signal analysis has been widely used.
利用听觉频率非线性特性的美尔倒谱作为语音识别的特征参数，来辨识说话人提供的输入口令。
Also, since MFCC represent hearing frequency nonlinear characteristic, we utilize MFCC to be another speak recognition characteristic parameter to distinguish the input passwords.
将梅尔倒谱参数和线性预测参数结合起来作为语音识别的特征提取参数。
The MFCC coefficients and LPCC coefficients are combined as the speech recognition feature extraction parameters.
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