Patent ID: 6038533
Filing Date: 2000-03-14
Classification: G10L

Abstract:
A method for identifying a subset of a corpus of speech data usable for estimating speech parameters in a speech processing application, said corpus being arranged as a plurality of sentences, comprising the steps of:constructing feature vectors corresponding to all phonetic segments appearing in said corpus;mapping said feature vectors into a plurality of matrices based on a model chosen to fit said corpus, said matrices being arranged to include sets of said feature vectors corresponding to sentences in said corpus; andoperating on said parameter space matrices with a greedy algorithm to find a submatrix of full rank, said full-rank submatrix being formed by the union of one or more of said model-based matrices and whereby sentences corresponding to said one or more of said model-based matrices included in said full-rank submatrix comprise said subset of said corpus of speech data;wherein an articulation of one or more of said corresponding sentences provides an input to said speech processing application for estimation of said speech parameters.