13. The method of claim 12 , further comprising: eliminating background noise from at least one set of training data comprised in the training data model set.
14. The method of claim 13 , wherein the eliminating of the background noise comprises: determining the training data to be one of clean data, stationary noisy data, and non-stationary noisy data using an energy value measured for each of preset frame units of the training data; and eliminating the stationary noisy data using single channel speech enhancement technology in response to the training data determined to be the stationary noisy data, and eliminating the non-stationary noisy data using single change speech separation technology in response to the training data determined to be the non-stationary noisy data.