自适应平滑周期图语音增强研究

详细信息

Speech enhancement based on adaptive averaging periodogram

摘要: 提出基于功率谱结构特征的频带间自适应平滑周期图,解决周期图估计的频率分辨率和方差的矛盾,并应用于语音增强算法的幅度谱减法。测试结果表明,自适应平滑周期图谱减法对于各种功率谱结构特征的噪声,在平均段信噪比提高、平均对数谱距离等性能指标上优于其它周期图估计方法的谱减法。

Abstract: In this study, an adaptive averaging periodogram scheme between adjacent frequency bins, based on charac-teristics of the short-time spectral density, is proposed to optimize the bias-to-variance trade-off of the local periodogram. The proposed method is applied to the magnitude spectral subtraction in speech enhancement. Simulation results verify that the performance of the proposed algorithm is better than those conventional algorithms that used other periodogram estimation methods in terms of the segmental SNR and the log-spectral distance.