Voice model for speech processing based on ordered average ranks of spectral features

A method of using a computer processor configured for executing operations on encoded computer program instructions stored in computer memory and arranged for generating a spectral feature vector data output, said method comprising the steps of:

• accepting at least two input vectors, each input vector including speech or audio or voice spectral features;
• creating vectors of ranks via ranking values of the spectral features of each input vector;
• creating ordered vectors via arranging the values of each input vector according to rank;
• creating a vector of ordered average values via determining the average of corresponding values of the ordered vectors;
• creating a vector of ordered average ranks via determining the sum or average of the vectors of ranks;
• creating a vector of ordered ranks via ranking the values of the ordered average ranks;
• creating a spectral feature vector via employing the rank order represented by the vector of ordered ranks to reorder the vector of ordered average values.