24. The method according to claim 21 further comprising: mapping said posterior-based evaluation score to a grade as would be assigned by human listener; and presenting said grade to said student speaker.
24. The method according to claim 21 further comprising: mapping said posterior-based evaluation score to a grade as would be assigned by human listener; and presenting said grade to said student speaker. 25. The method according to claim 24 wherein said step of mapping said posterior-based evaluation score to a grade comprises: collecting a set of training speech samples from a plurality of language students of various proficiency levels; collecting a set of human evaluation grades for each of said training samples from human expert listeners listening to said samples; and adjusting coefficients used in mapping by minimizing the squared-error between the human expert grades and said evaluation score.