The performance of speech recognition systems is mainly determined by the used acoustic feature extraction technique. Two techniques are known, namely the full-band approach and the multi-band approach using filter banks. Systems using either approach usually suffer from performance degradation in the presence of noise. In this paper, the multi-band approach using Wavelet transform is suggested for speaker-independent isolated word recognition in noisy environments. Moreover, it has been found

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... hat combining the acoustic features obtained using both the full-band approach and the Wavelet transform-based multi-band approach has led to an improvement in the achievable recognition rates especially under mismatched conditions at low signal-to-noise ratio situations.