Speech recognition using unequally-weighted subvector error measures for determining a codebook vector index to represent plural speech parameters

The metnod of 4 wherein the step of weighting the first intermediate result of the operation on the first set of the plurality of speech parameters differently than the second intermediate result of the operation on the second set of plurality of speech parameters in the weighted representation comprises the step of selecting the weighted distortion measure to employ a weight matrix scaled such that at least one matrix element is equal to one, and wherein the step of employing the weighted representation to determine the vector index comprises the step of employing the weight matrix in the weighted distortion measure to determine the vector index.

The method of 4 wherein the step of weighting the first intermediate result of the operation on the first set of the plurality of speech parameters differently than the second intermediate result of the operation on the second set of the plurality of speech parameters in the weighted representation comprises the step of selecting the weighted distortion measure to comprise a weight matrix that is symmetric, and wherein the step of employing the weighted representation to determine the vector index comprises the step of employing the weight matrix in the weighted distortion measure to determine vector index.

A system used in determining a vector index to represent a plurality of speech parameters in signal processing for identifying an utterance, the system comprising:

• an evaluator that weights a first intermediate result of an operation on a first set of the plurality of speech parameters differently than a second intermediate result of an operation on a second set of the plurality of speech parameters in a weighted representation of the plurality of speech parameters;
• and
• a comparator that employs the weighted representation of the plurality of speech parameters to determine the vector index.