--- res: bibo_abstract: - 'Although widely used, there are still open questions concerning which properties of linear discriminant analysis (LDA) account for its success in many speech recognition systems. In order to gain more insight into the nature of the transformation we compare LDA with mel-cepstral feature vectors with respect to the following criteria: decorrelation and ordering property; invariance under linear transforms; automatic learning of dynamical features; and data dependence of the transformation.@eng' bibo_authorlist: - foaf_Person: foaf_givenName: Thomas foaf_name: Eisele, Thomas foaf_surname: Eisele - foaf_Person: foaf_givenName: Reinhold foaf_name: Haeb-Umbach, Reinhold foaf_surname: Haeb-Umbach foaf_workInfoHomepage: http://www.librecat.org/personId=242 - foaf_Person: foaf_givenName: Detlev foaf_name: Langmann, Detlev foaf_surname: Langmann dct_date: 1996^xs_gYear dct_language: eng dct_title: A Comparative Study of Linear Feature Transformation Techniques for Automatic Speech Recognition@ ...