Jim Talley
Dept. of Linguist., 501 Calhoun Hall, Univ. of Texas at Austin, Austin, TX 78712
In the phonetics/speech perception community, the assertion that dynamic
aspects of the speech signal are employed in robust speech decoding is not
particularly controversial. Though an increasing number of studies are
addressing the various dynamic cues of speech, quantitative, analytical
research is hampered somewhat by a lack of established methods. Methods for
studying dynamic phenomena are much less well developed than those for more
static properties. This paper proposes a new method for characterizing dynamic
aspects of speech, the Piecewise Exponential Approximation with Continuity
Constraints (PEACC) method, to help remedy this state of affairs. As its name
suggests, PEACC performs piecewise fitting of exponential
segments---(gamma)e[sup (alpha)x]+(beta), -(infinity)