22. The system of claim 14 , wherein the method further comprises: receiving one or more test speech samples; generating a set of test data by extracting one or more acoustic features from every frame of the one or more test speech samples; transforming the set of test data into transformed data using the PLDA model to capture emotion and/or speaking style in the transformed data; and using the transformed data for clustering and/or classification to discover speech with emotion or speaking styles similar to that captured in the transformed data.
22. The system of claim 14 , wherein the method further comprises: receiving one or more test speech samples; generating a set of test data by extracting one or more acoustic features from every frame of the one or more test speech samples; transforming the set of test data into transformed data using the PLDA model to capture emotion and/or speaking style in the transformed data; and using the transformed data for clustering and/or classification to discover speech with emotion or speaking styles similar to that captured in the transformed data. 27. The system of claim 22 , wherein the method further comprises augmenting the classification and/or clustering with supplemental emotion classification using emotion recognition done in parallel by one or more methods other than analysis of speech samples.