Semi-supervised source separation using non-negative techniques
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United States of America Patent
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Aug 19, 2014
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May 23, 2013
app pub date -
May 27, 2011
filing date -
May 27, 2011
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Abstract
Systems and methods for semi-supervised source separation using non-negative techniques are described. In some embodiments, various techniques disclosed herein may enable the separation of signals present within a mixture, where one or more of the signals may be emitted by one or more different sources. In audio-related applications, for instance, a signal mixture may include speech (e.g., from a human speaker) and noise (e.g., background noise). In some cases, speech may be separated from noise using a speech model developed from training data. A noise model may be created, for example, during the separation process (e.g., “on-the-fly”) and in the absence of corresponding training data.
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