Patent Document ID: 20130132077
Application ID: 13118178
Patent Status: 0

Claim One:
1. A method, comprising: performing, by one or more computing devices: generating a source model for a sound source based, at least in part, on a training signal, wherein the source model includes a plurality of spectral dictionaries corresponding to the training signal, wherein a given segment of the training signal is represented by a given one of the plurality of spectral dictionaries, wherein each of the plurality of spectral dictionaries includes at least one spectral component, and wherein the source model further includes probabilities of transition among the plurality of spectral dictionaries; receiving a mixed signal including a combination of a signal of interest with a noise signal, wherein the signal of interest is emitted by the sound source; in response to receiving an instruction to separate the signal of interest from the noise signal, generating a mixture model for the mixed signal using, at least in part, the source model, wherein the mixture model includes a plurality of mixture weights corresponding to the combination of the signal of interest and the noise signal, and a spectral dictionary corresponding to the noise signal; constructing a mask for the mixed signal based, at least in part, on the mixture model; and applying the mask to the mixture signal to separate the signal of interest from the noise signal.