Voice quality conversion device, voice quality conversion method and program

A voice conversion method for performing voice conversion to convert the voice of an input speaker to the voice of a target speaker, comprising:

• a parameter learning step in which a probabilistic model that uses speech information, speaker information, and phonological information as variables to thereby express relationships among binding energies between any two of the speech information, the speaker information and the phonological information by parameters is prepared, wherein the speech information is obtained based on a speech, the speaker information corresponds to the speech information, and the phonological information expresses the phoneme of the speech, and in which the parameters are determined by performing learning by sequentially inputting the speech information and the speaker information corresponding to the speech information into the probabilistic model;
• and
• a voice conversion processing step of performing voice conversion processing of the speech information obtained on the basis of the speech of the input speaker, based both on the parameters determined in the parameter learning step and on the speaker information of the target speaker.

A non-transitory computer readable medium embodying a program that, when executed by a central processing unit (CPU), causes a computer to execute a method, the method comprising:

• a parameter learning step in which a probabilistic model that uses speech information, speaker information, and phonological information as variables to thereby express relationships among binding energies between any two of the speech information, the speaker information and the phonological information by parameters is prepared, wherein the speech information is obtained based on a speech, the speaker information corresponds to the speech information, and the phonological information expresses the phoneme of the speech, and in which the parameters are determined by performing learning by sequentially inputting the speech information and the speaker information corresponding to the speech information into the probabilistic model;
• and
• a voice conversion processing step of performing voice conversion processing of the speech information obtained on the basis of the speech of the input speaker, based both on the parameters determined in the parameter learning step and on the speaker information of a target speaker.