The Teager energy based feature parameters for robust speech recognition in car noise

In this paper, a new set of speech feature parameters based on multirate signal processing and the Teager energy operator is developed. The speech signal is first divided into nonuniform subbands in mel-scale using a multirate filter-bank, then the Teager energies of the subsignals are estimated. Finally, the feature vector is constructed by log-compression and inverse DCT computation. The new feature parameters have a robust speech recognition performance in car engine noise which is low pass in nature.

[1]  Ruhi Sarikaya,et al.  Subband based classification of speech under stress , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[2]  Petros Maragos,et al.  Conditions for positivity of an energy operator , 1994, IEEE Trans. Signal Process..

[3]  R. Ansari,et al.  A class of linear-phase regular biorthogonal wavelets , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[4]  Petros Maragos,et al.  Energy separation in signal modulations with application to speech analysis , 1993, IEEE Trans. Signal Process..

[5]  A. Enis Çetin,et al.  Subband analysis for robust speech recognition in the presence of car noise , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[6]  H. Teager.  Some observations on oral air flow during phonation , 1980 .

[7]  Stan Davis,et al.  Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Se , 1980 .

[8]  Petros Maragos,et al.  On amplitude and frequency demodulation using energy operators , 1993, IEEE Trans. Signal Process..

[9]  Petros Maragos,et al.  AM-FM energy detection and separation in noise using multiband energy operators , 1993, IEEE Trans. Signal Process..