Noise-robust open-set speaker recognition using noise-dependent Gaussian mixture classifier

Speaker recognition makes a decision to either accept or reject a recognized speaker candidate, based on some score (e.g. likelihood) associated to the item. Model-based classification can be used to make the decision. In mobile device applications, the background noise level may affect the score distributions and cause a decision failure. We describe a new… CONTINUE READING