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Title: Methods and apparatus for non-acoustic speech characterization and recognition

Patent ·
OSTI ID:872779
 [1]
  1. Berkeley, CA
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By simultaneously recording EM wave reflections and acoustic speech information, the positions and velocities of the speech organs as speech is articulated can be defined for each acoustic speech unit. Well defined time frames and feature vectors describing the speech, to the degree required, can be formed. Such feature vectors can uniquely characterize the speech unit being articulated each time frame. The onset of speech, rejection of external noise, vocalized pitch periods, articulator conditions, accurate timing, the identification of the speaker, acoustic speech unit recognition, and organ mechanical parameters can be determined.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
DOE Contract Number:
W-7405-ENG-48
Assignee:
Regents of University of California (Oakland, CA)
Patent Number(s):
US 6006175
OSTI ID:
872779
Country of Publication:
United States
Language:
English

References (9)

Applications of voice processing to telecommunications journal January 1994
A model of articulatory dynamics and control journal January 1976
Techniques for estimating vocal-tract shapes from the speech signal journal January 1994
An evaluation of an alternating magnetic field device for monitoring tongue movements journal August 1990
Inferring articulation and recognizing gestures from acoustics with a neural network trained on x‐ray microbeam data journal August 1992
Advances in speech and audio compression journal June 1994
The Activity of the Intrinsic Laryngeal Muscles in Voicing Control journal May 1972
Cepstral analysis technique for automatic speaker verification journal April 1981
Speech Analysis and Synthesis by Linear Prediction of the Speech Wave journal August 1971

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Related Subjects

methods
apparatus
non-acoustic
speech
characterization
recognition
simultaneously
recording
wave
reflections
acoustic
information
positions
velocities
organs
articulated
defined
unit
time
frames
feature
vectors
describing
degree
required
formed
uniquely
characterize
frame
onset
rejection
external
noise
vocalized
pitch
periods
articulator
conditions
accurate
timing
identification
speaker
organ
mechanical
parameters
determined
acoustic speech
time frame
speech information
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