基于mel尺度LPC算法的形成峰频率估计

Antonio Marcos de Lima Araujo, Fiibio Violaro
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引用次数: 24

摘要

本文提出了一种F1和F2形成峰估计算法。该算法将线性预测分析与Mel心理声学感知量表相结合。该算法对前两个共振峰进行了测试,并对男性和女性演讲者,成人和儿童产生了良好的表现。与传统的LPC算法需要变阶预测滤波器来考虑不同的共振峰模式不同,该算法能够使用固定阶预测滤波器来提取这些共振峰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Formant frequency estimation using a Mel-scale LPC algorithm
This paper presents an algorithm for F1 and F2 formant estimation. The proposed algorithm combines a linear predictive analysis together with the Mel psychoacoustical perceptual scale. The algorithm was tested for the first 2 formants and produced good performance for male and female speakers, adults and children. In contrast to the classical LPC algorithm which requires variable-order prediction filters to take into account different formant patterns, the proposed algorithm is capable of extracting these formants with a fixed-order prediction filter.
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