Patent Document ID: 9159329
Application ID: 13705710
Patent Flag: 1

Claim One:
1. A method comprising: determining a scale factor that, when applied to a synthesized reference spectral envelope, minimizes a statistical divergence between a natural reference spectral envelope and the synthesized reference spectral envelope, wherein the synthesized reference spectral envelope is generated by a state of a Hidden Markov Model (HMM); for a given synthesized subject spectral envelope generated by the state of the HMM, determining an enhanced synthesized subject spectral envelope based on the determined scale factor; and generating, by a computing device, a synthetic speech signal comprising the enhanced synthesized subject spectral envelope, wherein determining the scale factor that minimizes the statistical divergence between the natural reference spectral envelope and the synthesized reference spectral envelope comprises: determining a statistical difference corresponding to each potential scale factor in a set of potential scale factors, wherein the number of potential scale factors in the set of potential scale factors is a predetermined number, and wherein each potential scale factor from the set of potential scale factors has a unique value that is within a predetermined interval; and selecting as the scale factor the potential scale factor in the set of scale factors having the smallest corresponding determined statistical difference.