Title :
Discriminative analysis for feature reduction in automatic speech recognition
Author :
Bocchieri, E.L. ; Wilpon, J.G.
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
Abstract :
A dimensionality reduction method of the frame feature space based on discriminative analysis is discussed. A significant dimensionality reduction is obtained without loss of recognition performance in speaker independent experiments on a variety of speech databases. In addition, this procedure allows the selective incorporation of new feature components into an existing feature set
Keywords :
speech recognition; automatic speech recognition; dimensionality reduction method; discriminative analysis; frame feature space; recognition performance; speaker independent experiments; speech databases; Automatic speech recognition; Cepstrum; Data mining; Error analysis; Feature extraction; Independent component analysis; Performance loss; Scattering; Speech analysis; Speech recognition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.225862
