Kernelized Rényi distance for speaker recognition

Kernelized Rényi distance for subset selection and similarity scoring

Rényi entropy refers to a generalized class of entropies that have been used in several applications. In this work, we derive a non-parametric distance between distributions based on the quadratic Rényi entropy. The distributions are estimated via Parzen density estimates. The quadratic complexity of the distance evaluation is mitigated with GPUbased parallelization. This results in an efficien...

Efficient subset selection via the kernelized Rényi distance

With improved sensors, the amount of data available in many vision problems has increased dramatically and allows the use of sophisticated learning algorithms to perform inference on the data. However, since these algorithms scale with data size, pruning the data is sometimes necessary. The pruning procedure must be statistically valid and a representative subset of the data must be selected wi...

Title of dissertation : SCALABLE LEARNING FOR GEOSTATISTICS AND SPEAKER RECOGNITION Balaji Vasan Srinivasan Doctor of Philosophy , 2011

Title of dissertation: SCALABLE LEARNING FOR GEOSTATISTICS AND SPEAKER RECOGNITION Balaji Vasan Srinivasan Doctor of Philosophy, 2011 Thesis directed by: Professor Ramani Duraiswami Department of Computer Science With improved data acquisition methods, the amount of data that is being collected has increased several fold. One of the objectives in data collection is to learn useful underlying pa...

Scalable learning for geostatistics and speaker recognition

With improved data acquisition methods, the amount of data that is being collected has increased several fold. One of the objectives in data collection is to learn useful underlying patterns. In order to work with data at this scale, the methods not only need to be effective with the underlying data, but also have to be scalable to handle larger data collections. My research focused on developi...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words