Two-dimensional root cepstrum as feature extraction method for speech recognition

A novel and simple feature extraction method for speech recognition using the two-dimensional root cepstrum (TDRC) has been introduced. Because of the adjustable root index parameter (/spl gamma/) it has some advantages over the original two-dimensional cepstrum (TDC). Experiments on isolated word recognition using the TIMIT data base show promising results compared with the original TDC.