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NOISE ESTIMATION METHOD USING INCREMENTAL BAYES LEARNING FOR ESTIMATING NOISE IN SIGNAL USED FOR PATTERN RECOGNITION
NOISE ESTIMATION METHOD USING INCREMENTAL BAYES LEARNING FOR ESTIMATING NOISE IN SIGNAL USED FOR PATTERN RECOGNITION
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机译:利用增量贝叶斯学习估计模式识别信号中噪声的噪声估计方法
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摘要
A method and apparatus estimate additive noise in a noisy signal using incremental Bayes learning, where a time-varying noise prior distribution is assumed and hyperparameters (mean and variance) are updated recursively using an approximation for posterior computed at the preceding time step. The additive noise in time domain is represented in the log-spectrum or cepstrum domain before applying incremental Bayes learning. The results of both the mean and variance estimates for the noise for each of separate frames are used to perform speech feature enhancement in the same log-spectrum or cepstrum domain.
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