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从语言信号中提取基频的一种新方法

A NEW METHOD EXTRACTING THE FUNDAMENTAL FREQUENCY FROM THE SPEECH SIGNAL

  • 摘要: 从语言信号中提取基频是语言声学中尚未满意解决的一个问题.近年来随着计算技术的发展,相继提出了多种方案,但在准确性和复杂性的矛盾上,仍有待进一步研究.本文提出了一种提取语言信号基频的新方法:用递归数字滤波器搜索和逻辑判决.经过在计算机上的模拟和硬件研制的实践证明,效果很好,合成语言有较好的自然度与可懂度,且硬件简单,适合于通信工程使用.

     

    Abstract: Extraction of the fundamental frequency from the speech signal is a problem which has not been solved with great satisfaction. Although various schemes have successively been proposed along with the development of computing technique, the contradiction between accuracy and complexity remains to be solved.
    This paper suggests a new method which utilizes recursive digital filters and associative de-cision logic to search and trace the fundamental frequency. It is enough to prove that the result is good by means of the simulation in computer and the real-time special purpose hardware. Synthetic speech intelligibility and naturalness are both quite satisfactory. Moreover, hardware is simple. Thus it can be adapted in communication engineering.

     

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