Spectral stability based event localizing temporal decomposition

A new approach to temporal decomposition (TD) of speech, called “spectral stability based event localizing temporal decomposition”, abbreviated S² BEL-TD, is presented. The original method of TD proposed by Atal (1983) is known to have the drawbacks of high computational cost, and the instability of the number and locations of events. In S² BEL-TD, the event localization is performed based on a maximum spectral stability criterion. This overcomes the instability problem of events of the Atal´s method. Also, S² BEL-TD avoids the use of the computationally costly singular value decomposition routine used in the Atal´s method, thus resulting in a computationally simpler algorithm of TD. Simulation results show that an average spectral distortion of about 1.5 dB can be achieved with LSF as the spectral parameter. Also, we have shown that the temporal pattern of the speech excitation parameters can also be well described using the S² BEL-TD technique