Teager energy based feature parameters for speech recognition in car noise

Author

Jabloun, Firas ; Çetin, A. Enis ; Erzin, Engin

Author_Institution

Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey

Volume

6

Issue

10

fYear

1999

Firstpage

259

Lastpage

261

Abstract

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.

Keywords

acoustic noise; cepstral analysis; discrete cosine transforms; feature extraction; parameter estimation; speech recognition; Teager energy operator; car engine noise; cepstral feature parameters; feature vector; inverse discrete cosine transform; log-compression; mel-scale; multirate filterbank; multirate signal processing; nonuniform subbands; robust performance; speech feature parameters; speech recognition; speech signal; Additive noise; Autocorrelation; Discrete cosine transforms; Engines; Filter bank; Noise robustness; Signal processing; Speech enhancement; Speech processing; Speech recognition;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.789604

Filename

789604