Speaker recognition systems frequently use GMM - MAP method for modeling speakers. This method represents a speaker using a Gaussian mixture.
The goal of our proposal is to select a set of Gaussian components that better characterizes the acoustic classes of a speaker utterance, based on the í µí±˜ ...
Abstract. Speaker recognition systems frequently use GMM - MAP method for modeling speakers. This method represents a speaker us- ing a Gaussian mixture.
In order to remove the model redundancy, this work proposes a Gaussian selection method to achieve a new GMM model only with the more representative Gaussian ...
Gaussian selection for speaker recognition using cumulative vectors. Speaker recognition systems frequently use GMM-MAP method for modeling speakers. This ...
Abstract. Speaker recognition systems frequently use. GMM-MAP method for modeling speakers. This method represents the speaker using a Gaussian mixture.
Speaker recognition systems frequently use GMM-MAP method for modeling speakers. This method represents the speaker using a Gaussian mixture.
Gaussian selection for speaker recognition using cumulative vectors · Gaussian mixture model: a modeling technique for speaker recognition and its component.
This paper proposes a novel training method called Maximum Gaussianality (MG), which regulates the distribution of the speaker vectors.
Missing: Selection | Show results with:Selection
Abstract—Systems based on i–vectors represent the current state–of–the–art in text-independent speaker recognition. Unlike joint factor analysis (JFA), ...