An algorithm for robust signal modelling in speech recognition

The most popular set of parameters used in recognition systems is the mel frequency cepstral coefficients. While giving generally good results, it remains that the filtering process, as used in the evaluation of these parameters, reduces the signal resolution in the frequency domain, which can have some impact in discriminating between phonemes. This paper presents a new parameterization approach that preserves most of the characteristics of mel frequency cepstral coefficients while maintaining the initial frequency resolution obtained from the fast Fourier transform. It is shown, by the results obtained, that this technique can significantly increase the performance of a recognition system.