Robust fundamental frequency estimation against background noise and spectral distortion
Robust fundamental frequency estimation against background noise and spectral distortion
复制标题
针对背景噪声和频谱失真的稳健基频估计
DOI：
10.21437/icslp.2002-517
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
T. Irino
中科院分区：
文献类型：
--
作者：
T. Nakatani;T. Irino
提出了一种在存在背景噪声和频谱失真的情况下进行基频鲁棒估计的新方法。我们根据瞬时频率定义优势度和优势谱。优势度使我们能够评估语音信号相对于背景噪声的单个谐波分量的大小，同时消除频谱失真的影响。从优势谱中选取可靠的谐波分量，对基频进行稳健估计。实验使用了由SRAEN滤波器产生和不产生光谱畸变的白背景噪声和多话音背景噪声。结果表明，该方法在正确F0率方面优于常用方法。
This paper presents a new method for robust fundamental frequency (F0) estimation in the presence of background noise and spectral distortion. We define degree of dominance and a dominance spectrum based on instantaneous frequencies. The degree of dominance allows us to evaluate the magnitude of individual harmonic components of speech signals relative to background noise while eliminating the influence of spectral distortion. The fundamental frequency is robustly estimated from reliable harmonic components easily selected from the dominance spectra. Experiments are performed using white and multi-talker background noise with and without spectral distortion produced by a SRAEN filter. Results show that the present method is better than the commonlyused methods in terms of correct F0 rates.