5th European Conference on Speech Communication and Technology

Rhodes, Greece
September 22-25, 1997

Data-Driven Design of RASTA-Like Filters

Sarel van Vuuren (1), Hynek Hermansky (1,2)

(1) Oregon Graduate Institute of Science and Technology, Portland, OR, USA (2) International Computer Science Institute, Berkeley, California, USA

We describe use of Linear Discriminant Analysis (LDA) for data-driven automatic design of RASTA-like filters. The LDA applied to rather long segments of time trajectories of critical-band energies yields FIR filters to be applied to these time trajectories in the feature extraction module. Frequency responses of the first three discriminant vectors are in principle consistent with the ad hoc designed RASTA, delta and double-delta filters. On a connected digit task the new features outperform the original RASTA processing.

Full Paper

Bibliographic reference.  Vuuren, Sarel van / Hermansky, Hynek (1997): "Data-driven design of RASTA-like filters", In EUROSPEECH-1997, 409-412.