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。
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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.
Based on speech transformation and representation using adaptive interpolation of weighted spectrum (STRAIGHT), a wideband speech coding algorithm is presented.