Fundamental frequency estimation of speech signals using MUSIC algorithm

Fundamental frequency estimation of speech signals using MUSIC algorithm
复制标题

使用 MUSIC 算法估计语音信号的基频

DOI:
10.1250/ast.22.293
复制
发表时间:
2001
影响因子:
0.7
通讯作者:
Y. Ishida
Y. Ishida
中科院分区:
--
文献类型:
--
作者:
T. Murakami;Y. Ishida

文献摘要

被引文献

相似文献

本文介绍了一种从语音信号的噪声谱中估计基频的新方法。基频是语音识别、语音编码等的重要特征之一,本文提出的方法采用基于特征子空间分解的MUSIC算法。
In this article a new method for fundamental frequency estimation from the noisy spectrum of a speech signal is introduced. The fundamental frequency is one of the most essential characteristics for speech recognition, speech coding and so on. The proposed method uses the MUSIC algorithm, which is an eigen-based subspace decomposition method.