Details

Autor(en) / Beteiligte

• Shuai Huang
• Coppersmith, Glen A.

Titel

Discriminative feature extraction for language identification

Ist Teil von

• 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.6862-6865

Ort / Verlag

IEEE

Erscheinungsjahr

2013

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• In this paper we propose a discriminative feature extraction method, DFE, to address the increasing number of features in language identification (LID) tasks. Similar to linear discriminant analysis (LDA), it extracts the most discriminative features through the maximization of an "approximated" mutual information I(C; Y ) between the class labels C and the projected data Y. Compared with other feature extraction methods, experiments done on the CallFriend corpus shows DFE could handle high-dimensional dataset with ease. Furthermore, this feature extraction shows improvements on the LID task over standard feature extraction methods (LDA and principal components analysis).