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The GMM consists of two Gaussian distributions, modeling either noise or surface EMG signals. Such machine learning based techniques have recently demonstrated their superiority in discriminating speech signal from background noise for voice activity detection [19–21]. In this study, the unsupervised learning based on a sequential GMM was ......

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454555/

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Peyman Tehrani - Research Assistant - UC Irvine | LinkedIn

4- Implementation of a image segmentation method using Gaussian mixture model. Auto-correlation based voice activity detection ... between a speech mixed with background noise and a background ...

https://www.linkedin.com/in/peyman-tehrani-939195a3

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