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Speech processing using maximum likelihood continuity mapping

Patent ·
OSTI ID:872961
 [1]
  1. Santa Fe, NM
+ Show Author Affiliations

Speech processing is obtained that, given a probabilistic mapping between static speech sounds and pseudo-articulator positions, allows sequences of speech sounds to be mapped to smooth sequences of pseudo-articulator positions. In addition, a method for learning a probabilistic mapping between static speech sounds and pseudo-articulator position is described. The method for learning the mapping between static speech sounds and pseudo-articulator position uses a set of training data composed only of speech sounds. The said speech processing can be applied to various speech analysis tasks, including speech recognition, speaker recognition, speech coding, speech synthesis, and voice mimicry.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM
DOE Contract Number:
W-7405-ENG-36
Assignee:
Regents of University of California (Los Alamos, MX)
Patent Number(s):
US 6052662
OSTI ID:
872961
Country of Publication:
United States
Language:
English

References (9)

The potential role of speech production models in automatic speech recognition journal March 1996
On automatic estimation of articulatory parameters in a text-to-speech system journal January 1992
Techniques for estimating vocal-tract shapes from the speech signal journal January 1994
A statistical approach to automatic speech recognition using the atomic speech units constructed from overlapping articulatory features journal May 1994
Vector quantization journal April 1984
Accurate recovery of articulator positions from acoustics: New conclusions based on human data journal September 1996
Electromagnetic midsagittal articulometer systems for transducing speech articulatory movements journal December 1992
Landmark detection for distinctive feature‐based speech recognition journal November 1996
Adding articulatory features to acoustic features for automatic speech recognition journal May 1995

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