Zero Phase speech representation for robust formant tracking

D. González, EDUARDO LLEIDA SOLANO, J. Lara
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引用次数: 2

Abstract

In this paper we present a speech representation based on the Linear Predictive Coding of the Zero Phase version of the signal (ZP-LPC) and its robustness in presence of additive noise for robust formant estimation. Two representations are proposed for using in the frequency candidate proposition stage of the formant tracking algorithm: 1) the roots of ZP-LPC and 2) the peaks of its group delay function (GDF). Both of them are studied and evaluated in noisy environments with a synthetic dataset to demonstrate their robustness. Proposed representations are then used in a formant tracking experiment with a speech database. A beam search algorithm is used for selecting the best candidates as formant. Results show that our method outperforms related techniques in noisy test configurations and is a good fit for use in applications that have to work in noisy environments.
鲁棒峰跟踪的零相位语音表示
本文提出了一种基于信号零相位版本的线性预测编码(ZP-LPC)的语音表示及其在加性噪声存在下的鲁棒性,用于鲁棒阵估计。提出了两种表示形式,用于编队峰跟踪算法的频率候选命题阶段:1)ZP-LPC的根和2)其群延迟函数(GDF)的峰。用一个合成数据集对这两种方法在噪声环境下进行了研究和评估,以证明它们的鲁棒性。然后在语音数据库的形成峰跟踪实验中使用所提出的表示。采用波束搜索算法选择最佳候选波束作为形成峰。结果表明,该方法在噪声测试配置中优于相关技术,非常适合在噪声环境中工作的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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