14. A system, comprising: a processor module; a memory coupled to the processor, wherein the memory contains executable instructions configured to implement a method, the method comprising: receiving one or more speech samples; generating a set of training data by extracting one or more acoustic features from every frame of the one or more speech samples; and generating a model from the set of training data, wherein the model identifies emotion or speaking style dependent information in the set of training data, wherein the model includes the application of a Probabilistic Linear Discriminant Analysis (PLDA) to identify an emotion related subspace.
17. The system of claim 14 , the one or more sample speeches include a plurality of emotions or speaking styles with the one or more sample speeches from one or more persons for each emotion or speaking style.