Based on feature processing and model compensation, a weighted features compensation transformation method based on GMM for robust speaker verification was proposed.
从特征值处理和模型补偿两方面考虑，提出了基于高斯混合模型的加权特征补偿变换的抗噪声方法。
Furthermore, the regularity of test data can be greatly enhanced by weighted accumulative addition, reciprocal transformation and so on, which raises the precision of the prediction in time series.
并通过加权累加、倒数变换等方法，对观测值进行映射变换，使其呈现出更强的规律性，以进一步提高预测精度。
Based on speech transformation and representation using adaptive interpolation of weighted spectrum (STRAIGHT), a wideband speech coding algorithm is presented.
提出了一种基于自适应加权谱内插(STRAIGHT)的宽带语音编码算法。
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