8th International Conference on Spoken Language Processing

Jeju Island, Korea
October 4-8, 2004

Applying the Aurora Feature Extraction Schemes to a Phoneme based Recognition Task

Hans-Guenter Hirsch, Harald Finster

Niederrhein University of Applied Sciences, Germany

The robustness of the ETSI-Aurora standardized feature extraction schemes is investigated for phoneme based recognition tasks of German speech data. The recognition tasks are an isolated command word recognition and the recognition of connected digits. The motivation of this work is the easy extensibility of a whole word recognition system by allowing also the recognition of phoneme based word HMMs. The recognition performance has been determined for different numbers of HMM states and different numbers of Gaussians per state. It turns out that fairly high recognition rates can be achieved also for noisy data when applying the second robust ETSI frontend.

Full Paper

Bibliographic reference.  Hirsch, Hans-Guenter / Finster, Harald (2004): "Applying the Aurora feature extraction schemes to a phoneme based recognition task", In INTERSPEECH-2004, 109-112.