Automatic speech recognition using articulatory features from subject-independent acoustic-to-articulatory inversion

作者：Ghosh Prasanta Kumar^*; Narayanan Shrikanth

来源：Journal of the Acoustical Society of America, 2011, 130(4): EL251-EL257.

DOI：10.1121/1.3634122

An automatic speech recognition approach is presented which uses articulatory features estimated by a subject-independent acoustic-to-articulatory inversion. The inversion allows estimation of articulatory features from any talker's speech acoustics using only an exemplary subject's articulatory-to-acoustic map. Results are reported on a broad class phonetic classification experiment on speech from English talkers using data from three distinct English talkers as exemplars for inversion. Results indicate that the inclusion of the articulatory information improves classification accuracy but the improvement is more significant when the speaking style of the exemplar and the talker are matched compared to when they are mismatched.

• 出版日期2011-10