ASA 128th Meeting - Austin, Texas - 1994 Nov 28 .. Dec 02

5pSP20. The PEACC method of characterization of dynamic aspects of speech.

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)