Speech enhancement by harmonic modeling via map pitch tracking
Speech enhancement by harmonic modeling via map pitch tracking
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通过映射音调跟踪通过谐波建模增强语音
DOI：
10.1109/icassp.2002.5743776
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
Yulya Dickalov
中科院分区：
文献类型：
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作者：
J. Tabrikian;S. Dubnov;Yulya Dickalov
本文提出了一种估计被强噪声污染的语音信号参数的方法。所提出的估计方法是通过假设浊音帧假设的调和模型来发展的。提出了一种估计时变基音的最大后验概率跟踪方法。信号重构是通过将信号投影到具有最优基频估计的谐波信号子空间来实现的。使用大型基音检测数据库对该方法的性能进行了评估，并与其他已有方法进行了比较。仿真结果表明，与现有的基音估计方法相比，特别是在超低信噪比(低至−15d B)的情况下，本文提出的基音估计方法在均方误差和粗误码率方面具有更好的鲁棒性和更高的精度。文中还给出了语音重建/增强的实例。
In this paper we present a procedure for estimating the parameters of speech signals that are contaminated by high level of noise. The proposed estimation method is developed by assuming a harmonic model for the voiced frame hypothesis. A Maximum A-posteriori Probability tracking method is developed for estimating time-varying pitch. Signal recoIl8truction is achieved by projecting the signal onto the subspace of harmonic signals with the optimal estimates of the fundamental frequency. The performance of the proposed method is evaluated and compared to other existing methods using a large pitch detection database. It is shown that the proposed method for pitch estimation is more robust and much more accurate in terms of mean-square-error and gross error rate, in comparison to other existing methods, specially at ultra low signal-to-noise ratios (as low as −15 dB). Examples of speech reconstruction/enhancement are also presented in the paper.