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This paper proposes a novel acoustic model transformation method for speech recognition based on random projections. Random projections have been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. Moreover, as we are able to produce various random matrices, it may be possible to find a transform matrix that is superior to...
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computationally simple method that approximately preserves the Euclidean distance of any two points through the projection. Moreover, as we are able to produce various random matrices, there may be some possibility of finding a random...
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