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Teager energy based feature parameters for speech recognition in car noise

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3 Author(s)
F. Jabloun ; Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey ; A. E. Cetin ; E. Erzin

In this letter, a new set of speech feature parameters based on multirate signal processing and the Teager energy operator is introduced. The speech signal is first divided into nonuniform subbands in mel-scale using a multirate filterbank, then the Teager energies of the subsignals are estimated. Finally, the feature vector is constructed by log-compression and inverse discrete cosine transform (DCT) computation. The new feature parameters have robust speech recognition performance in the presence of car engine noise.

Published in:

IEEE Signal Processing Letters  (Volume:6 ,  Issue: 10 )