## 2pSC44. A maximum likelihood approach to estimating speech articulator positions from speech acoustics.

### Session: Tuesday Afternoon, December 3

### Time:

**Author: John E. Hogden**

**Location: Los Alamos Natl. Lab., Los Alamos, NM 87545**

**Abstract:**

An algorithm called maximum likelihood continuity mapping (MALCOM) will be
presented. MALCOM recovers the positions of the tongue, jaw, and lips from
measurements of the sound-pressure waveform of speech. Unlike other techniques
for recovering articulator positions from speech, MALCOM does not require
training on measured or modeled articulator positions, and MALCOM does not rely
on any particular model of sound propagation through the vocal tract. The
algorithm categorizes short-time windows of speech into a finite number of sound
types, and assumes the probability of using any articulator position to produce
a given sound type can be described by a parametrized probability density
function. MALCOM uses maximum likelihood estimation techniques to: (1) find the
most likely smooth articulator path given a speech sample and a set of
probability density functions (one density function for each sound type); and
(2) change the parameters of the probability density functions to better account
for the data. The data set used for evaluating the continuity mapping algorithm
is comprised of simultaneously collected articulator and acoustic measurements
made using an electromagnetic midsagittal articulometer on a human subject.
Comparisons between measured articulator positions and those recovered using
continuity mapping will be presented.
XXSU SC

ASA 132nd meeting - Hawaii, December 1996