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.
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. 18. The system of claim 14 , wherein the one or more speech samples are captured by a microphone.