Statistical Trajectory Models for Phonetic Recognition
Name
MIT-LCS-TR-642.pdf
Size
14.02 MB
Format
Adobe PDF
Checksum (MD5)
6e5f63ce7bb6556a1e29b95592dfd1a7
Author(s)
Goldenthal, William David
Advisor(s)
Glass, James R.
Date Issued
August 1994
Series/Report no.
MIT-LCS-TR-642
Abstract
The main goal of this work is to develop an alternative methodology for acoustic-phonetic modelling of speech sounds. The approach utilizes a segment-based framework to capture the dynamical behavior and statistical dependencies of the acoustic attribute
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