An efficient algorithm for articulatory synthesis.
T. V. Ananthapadmanabha, H. N. Jayasimha · The Journal of the Acoustical Society of America · 1991
One of the methods for efficient computation of articulatory synthesis is to discretize the area function into a small number of sections such as 10 or 12 resulting in a poor spatial resolution. The articulatory data have to be represented by 30 or more sections for a good spatial resolution requiring a large number of computations. However, good quality speech synthesis has been obtained using formant or LPC-based methods with filters of 10 or 12 coefficients for voiced sounds and 4 or 6 coefficients for unvoiced sounds. It is proposed that a computationally efficient method be used to obtain high quality synthesis using an articulatory model with a large number of sections (30 or more). It can be shown that when the adjacent sections are of equal area, the computations can be pruned without any loss of accuracy. For a given computational load, using an effective quantization rather than discretization of area function, one can achieve much lower spectral error in the transfer function. Trade-off relationships between spectral error and computational load as a function of quantization and discretization are reported.