EUROSPEECH 2001 Scandinavia
7th European Conference on Speech Communication and Technology

Aalborg, Denmark
September 3-7, 2001


A Comparison of LPC And FFT-Based Acoustic Features for Noise Robust ASR

Febe de Wet, Bert Cranen, Johan de Veth, Loe Boves

University of Nijmegen, The Netherlands

Within the context of robust acoustic features for automatic speech recognition (ASR), we evaluated mel-frequency cepstral coefficients (MFCCs) derived from two spectral representation techniques, i.e. the fast Fourier transform (FFT) and linear predictive coding (LPC). ASR systems based on the two feature types were tested on a digit recognition task using continuous density hidden Markov phone models. System performance was determined in clean acoustic conditions as well as in different simulations of adverse acoustic conditions. The LPC-based MFCCs outperformed their FFT counterparts in most of the adverse acoustic conditions that were investigated in this study. A tentative explanation for this difference in recognition performance is given.

Full Paper

Bibliographic reference.  Wet, Febe de / Cranen, Bert / Veth, Johan de / Boves, Loe (2001): "A comparison of LPC and FFT-based acoustic features for noise robust ASR", In EUROSPEECH-2001, 865-868.