4th International Conference on Spoken Language Processing
Philadelphia, PA, USA
The conventional independence assumption made for the evolving speech spectra is replaced by a strong correlation assumption, which then leads to a new stochastic model. This model implements a nonlinear interpolation between the lower and upper bounds of the joint probability distributions. The advantage of the new model over other correlation-based modelling approaches is that it has a low parameter complexity, the same as that in models based on the independence assumption. Experiments on a speaker-independent E-set database show the effectiveness of this new modelling approach.
Bibliographic reference. Ming, J. / O'Boyle, P. / McMahon, J. / Smith, F. J. (1996): "Speech recognition using a strong correlation assumption for the instantaneous spectra", In ICSLP-1996, 1061-1064.