This paper introduces noncausal all-pole models that are capable of ef
ficiently capturing both the magnitude and phase information of voiced
speech, It is shown that noncausal all-pole filter models are better
able to match both magnitude and phase information and are particularl
y appropriate for voiced speech due to the nature of the glottal excit
ation. By modeling speech in the frequency domain, the standard diffic
ulties that occur when using noncausal all-pole filters are avoided. S
everal algorithms for determining the model parameters based on freque
ncy-domain information and the masking effects of the ear are describe
d. Our work suggests that high-quality voiced speech can be produced u
sing a 14th-order noncausal all-pole model.